Distributed Representations of Words and Phrases and their Compositionality

Abstract

The recently introduced continuous Skip-gram model is an efficient method for learning high-quality distributed vector representations that capture a large number of precise syntactic and semantic word relationships. In this paper we present several extensions that improve both the quality of the vectors and the training speed. By subsampling of the frequent words we obtain significant speedup and also learn more regular word representations. We also describe a simple alternative to the hierarchical softmax called negative sampling. An inherent limitation of word representations is their indifference to word order and their inability to represent idiomatic phrases. For example, the meanings of "Canada" and "Air" cannot be easily combined to obtain "Air Canada". Motivated by this example, we present a simple method for finding phrases in text, and show that learning good vector representations for millions of phrases is possible.

References in corpus (1)

• From Frequency to Meaning: Vector Space Models of Semantics

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• Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models
• Living-Off-The-Land Command Detection Using Active Learning
• Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
• Effectiveness of Hierarchical Softmax in Large Scale Classification Tasks
• A Survey on Automated Log Analysis for Reliability Engineering
• Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
• Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems
• Graphite: Iterative Generative Modeling of Graphs
• Chemical-Reaction-Aware Molecule Representation Learning
• Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech
• SCELMo: Source Code Embeddings from Language Models
• Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
• Watset: Automatic Induction of Synsets from a Graph of Synonyms
• Multi-modality Latent Interaction Network for Visual Question Answering
• Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
• Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media
• Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks
• An Empirical Study on Leveraging Scene Graphs for Visual Question Answering
• MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers
• From POS tagging to dependency parsing for biomedical event extraction
• TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
• Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
• UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
• Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
• Automatic Speech Recognition with Very Large Conversational Finnish and Estonian Vocabularies
• Aspect Category Detection via Topic-Attention Network
• Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
• Medical Entity Disambiguation Using Graph Neural Networks
• When Does Unsupervised Machine Translation Work?
• DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
• On Event-Driven Knowledge Graph Completion in Digital Factories
• Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
• Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service
• Adaptive Scheduling for Multi-Task Learning
• Modeling morphology with Linear Discriminative Learning: considerations and design choices
• SQL-Rank: A Listwise Approach to Collaborative Ranking
• A Survey on Neural Network Interpretability
• Deep Collaborative Embedding for information cascade prediction
• A Finnish News Corpus for Named Entity Recognition
• A Multi-Modal Chinese Poetry Generation Model
• From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach
• RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
• Hyper-SAGNN: a self-attention based graph neural network for hypergraphs
• A hybrid classical-quantum workflow for natural language processing
• Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection
• A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
• Deep Two-path Semi-supervised Learning for Fake News Detection
• Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT
• Linking OpenStreetMap with Knowledge Graphs -- Link Discovery for Schema-Agnostic Volunteered Geographic Information
• How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
• Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification
• Modeling Order in Neural Word Embeddings at Scale
• Comparative Analysis of Word Embeddings for Capturing Word Similarities
• SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering
• Neural Machine Reading Comprehension: Methods and Trends
• Probing Biomedical Embeddings from Language Models
• Towards Making the Most of BERT in Neural Machine Translation
• Modeling Generalization in Machine Learning: A Methodological and Computational Study
• Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases
• Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
• Instance-Dependent PU Learning by Bayesian Optimal Relabeling
• Extracting Sentence Embeddings from Pretrained Transformer Models
• Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
• Deep Feature Learning for Graphs
• GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
• Sequential Attention-based Network for Noetic End-to-End Response Selection
• Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
• Text Guide: Improving the quality of long text classification by a text selection method based on feature importance
• Multi-relational Poincaré Graph Embeddings
• BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite
• Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencoder
• Convolutional Neural Networks for Toxic Comment Classification
• Hate begets Hate: A Temporal Study of Hate Speech
• Propositionalization and Embeddings: Two Sides of the Same Coin
• Deep Learning for Free-Hand Sketch: A Survey
• SI-spreading-based network embedding in static and temporal networks
• Negative Sampling Improves Hypernymy Extraction Based on Projection Learning
• Chainer: A Deep Learning Framework for Accelerating the Research Cycle
• Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
• Enhanced word embeddings using multi-semantic representation through lexical chains
• Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
• SECaps: A Sequence Enhanced Capsule Model for Charge Prediction
• Pretrained Transformers Improve Out-of-Distribution Robustness
• Meta-Consolidation for Continual Learning
• Structured prediction models for RNN based sequence labeling in clinical text
• Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
• Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks
• Investigating the Successes and Failures of BERT for Passage Re-Ranking
• Simulating Action Dynamics with Neural Process Networks
• TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding
• Revealing interpretable object representations from human behavior
• Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach
• RWR-GAE: Random Walk Regularization for Graph Auto Encoders
• LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond
• NILE: Fast Natural Language Processing for Electronic Health Records
• Leveraging Multilingual Transformers for Hate Speech Detection
• Spoken Language Intent Detection using Confusion2Vec
• Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
• Incremental Deep Neural Network Learning using Classification Confidence Thresholding
• The Dynamic Embedded Topic Model
• Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
• Embedding-based Silhouette Community Detection
• Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings
• V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation
• Using Whole Document Context in Neural Machine Translation
• Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
• Vocabulary-informed Zero-shot and Open-set Learning
• Long Short-term Memory RNN
• Machine Learning Methods Economists Should Know About
• Modeling Vocabulary for Big Code Machine Learning
• Scalable bundling via dense product embeddings
• A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation
• Skip-gram word embeddings in hyperbolic space
• VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation
• Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset
• Linear Ensembles of Word Embedding Models
• A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
• Human-like generalization in a machine through predicate learning
• "A Passage to India": Pre-trained Word Embeddings for Indian Languages
• Semantics-aware BERT for Language Understanding
• Learning and Transferring IDs Representation in E-commerce
• Towards a Continuous Knowledge Learning Engine for Chatbots
• CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning
• Equalization Loss for Long-Tailed Object Recognition
• Hierarchical Autoregressive Image Models with Auxiliary Decoders
• Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
• Measuring Compositionality in Representation Learning
• Improving Neural Relation Extraction with Implicit Mutual Relations
• A Theory of Relation Learning and Cross-domain Generalization
• ChemBoost: A chemical language based approach for protein-ligand binding affinity prediction
• Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
• Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
• Understanding Negative Sampling in Graph Representation Learning
• Lessons on Parameter Sharing across Layers in Transformers
• Data Movement Is All You Need: A Case Study on Optimizing Transformers
• Identifying long-term periodic cycles and memories of collective emotion in online social media
• A Survey of Knowledge Enhanced Pre-trained Models
• Independent Prototype Propagation for Zero-Shot Compositionality
• Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution
• Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis
• Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
• Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks
• Knowledge Representation Learning: A Quantitative Review
• Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection
• Network Embedding: An Overview
• Misogynistic Tweet Detection: Modelling CNN with Small Datasets
• Transferable Contrastive Network for Generalized Zero-Shot Learning
• CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding
• CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data
• Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding
• Unsupervised embedding of trajectories captures the latent structure of scientific migration
• Identifying Partisan Slant in News Articles and Twitter during Political Crises
• Cross-lingual Information Retrieval with BERT
• Contrastive Embedding for Generalized Zero-Shot Learning
• FarsTail: A Persian Natural Language Inference Dataset
• Unsupervised Graph-based Rank Aggregation for Improved Retrieval
• Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
• Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
• Efficient Representation Learning Using Random Walks for Dynamic Graphs
• Adversarial Domain Adaptation for Stance Detection
• Encoder-Agnostic Adaptation for Conditional Language Generation
• Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
• STWalk: Learning Trajectory Representations in Temporal Graphs
• RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media
• Hybrid Discriminative-Generative Training via Contrastive Learning
• Explaining Deep Neural Networks
• SimpleX: A Simple and Strong Baseline for Collaborative Filtering
• Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks
• Learning Action Representations for Reinforcement Learning
• Learning Cross-Context Entity Representations from Text
• Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
• Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition
• Learning to Traverse Latent Spaces for Musical Score Inpainting
• Unsupervised Speech Recognition
• A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing
• Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales
• Unsupervised Ensemble Ranking of Terms in Electronic Health Record Notes Based on Their Importance to Patients
• Language Independent Sequence Labelling for Opinion Target Extraction
• Multi-class Hierarchical Question Classification for Multiple Choice Science Exams
• Gender-preserving Debiasing for Pre-trained Word Embeddings
• Transformer to CNN: Label-scarce distillation for efficient text classification
• Advances in Machine Learning for the Behavioral Sciences
• A Deep Learning Approach for Automatic Detection of Fake News
• Sentence Centrality Revisited for Unsupervised Summarization
• Pointly-Supervised Action Localization
• Learning Two-Branch Neural Networks for Image-Text Matching Tasks
• High Quality ELMo Embeddings for Seven Less-Resourced Languages
• A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity
• A multi-label, dual-output deep neural network for automated bug triaging
• Parallelizing Word2Vec in Shared and Distributed Memory
• Word and Phrase Translation with word2vec
• Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
• Learning Multi-Relational Semantics Using Neural-Embedding Models
• Analysis of English free association network reveals mechanisms of efficient solution of Remote Association Tests
• All About Knowledge Graphs for Actions
• A Bi-LSTM-RNN Model for Relation Classification Using Low-Cost Sequence Features
• ChatGPT Code Detection: Techniques for Uncovering the Source of Code
• Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction
• Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar
• Learning Household Task Knowledge from WikiHow Descriptions
• Distilling Knowledge Learned in BERT for Text Generation
• CoLAKE: Contextualized Language and Knowledge Embedding
• Toward Semi-Automatic Misconception Discovery Using Code Embeddings
• Feature Learning in Infinite-Width Neural Networks
• BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network
• Sentiment and structure in word co-occurrence networks on Twitter
• Relation extraction between the clinical entities based on the shortest dependency path based LSTM
• Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge
• Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding
• Zero-shot Learning for Audio-based Music Classification and Tagging
• Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning
• Near-lossless Binarization of Word Embeddings
• AViD Dataset: Anonymized Videos from Diverse Countries
• POPmine: Tracking Political Opinion on the Web
• Local Translation Prediction with Global Sentence Representation
• Multiplex Communities and the Emergence of International Conflict
• HONEM: Learning Embedding for Higher Order Networks
• Local Augmentation for Graph Neural Networks
• More but Correct: Generating Diversified and Entity-revised Medical Response
• Realised Volatility Forecasting: Machine Learning via Financial Word Embedding
• LCP-dropout: Compression-based Multiple Subword Segmentation for Neural Machine Translation
• Using Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition
• Evolution of emotion semantics
• Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text
• Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection
• Embodying Pre-Trained Word Embeddings Through Robot Actions
• Linguistic Analysis of Pretrained Sentence Encoders with Acceptability Judgments
• Learning Translations via Matrix Completion
• Towards non-toxic landscapes: Automatic toxic comment detection using DNN
• Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
• Brain-mediated Transfer Learning of Convolutional Neural Networks
• Semi-Supervised Visual Representation Learning for Fashion Compatibility
• Compatible and Diverse Fashion Image Inpainting
• Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
• Multistage linguistic conditioning of convolutional layers for speech emotion recognition
• GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs
• Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
• Low-supervision urgency detection and transfer in short crisis messages
• BREEDS: Benchmarks for Subpopulation Shift
• Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning
• Clustering Comparable Corpora of Russian and Ukrainian Academic Texts: Word Embeddings and Semantic Fingerprints
• Coreferential Reasoning Learning for Language Representation
• Simplex2Vec embeddings for community detection in simplicial complexes
• Supervised Transfer Learning for Product Information Question Answering
• GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation
• Measuring Bias in Contextualized Word Representations
• Mind the Nuisance: Gaussian Process Classification using Privileged Noise
• End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering
• Interval Universal Approximation for Neural Networks
• Hyperparameter Learning via Distributional Transfer
• Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
• Question Answering through Transfer Learning from Large Fine-grained Supervision Data
• Describing like humans: on diversity in image captioning
• Bilingual Embeddings with Random Walks over Multilingual Wordnets
• Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
• Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
• Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge
• The Remarkable Role of Similarity in Redundancy-based Program Repair
• Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision
• Zero-Shot Learning with Generative Latent Prototype Model
• Learning to Transfer Privileged Information
• MedCAT -- Medical Concept Annotation Tool
• SPI: Automated Identification of Security Patches via Commits
• NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
• An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
• Evaluation of Similarity-based Explanations
• Representation Learning for Electronic Health Records
• Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge
• Contrastive estimation reveals topic posterior information to linear models
• EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification
• Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions
• SIGL: Securing Software Installations Through Deep Graph Learning
• Deep learning models for representing out-of-vocabulary words
• A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks
• Adversarial Transfer Learning for Punctuation Restoration
• Healthcare NER Models Using Language Model Pretraining
• Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation
• Learning Blended, Precise Semantic Program Embeddings
• Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior
• Multitask Balanced and Recalibrated Network for Medical Code Prediction
• Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media
• Automated Concatenation of Embeddings for Structured Prediction
• Conformer-Kernel with Query Term Independence for Document Retrieval
• Language models and Automated Essay Scoring
• PSDVec: a Toolbox for Incremental and Scalable Word Embedding
• Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs
• BERT has a Moral Compass: Improvements of ethical and moral values of machines
• Debiased Contrastive Learning
• Multi-modal Ensemble Classification for Generalized Zero Shot Learning
• Data Sets: Word Embeddings Learned from Tweets and General Data
• Semantically-informed distance and similarity measures for paraphrase plagiarism identification
• Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base
• HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish
• TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial
• Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
• Linking GloVe with word2vec
• Character-level HyperNetworks for Hate Speech Detection
• The Effects of Randomness on the Stability of Node Embeddings
• Post-Training 4-bit Quantization on Embedding Tables
• Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks
• CL4AC: A Contrastive Loss for Audio Captioning
• Facebook Use of Sensitive Data for Advertising in Europe
• Deep Learning for Learning Graph Representations
• Deep Cooking: Predicting Relative Food Ingredient Amounts from Images
• Relational Generalized Few-Shot Learning
• What are the biases in my word embedding?
• ELF: An Early-Exiting Framework for Long-Tailed Classification
• Single-Pass PCA of Large High-Dimensional Data
• Review Conversational Reading Comprehension
• Open Sesame: Getting Inside BERT's Linguistic Knowledge
• Evaluating Neural Word Representations in Tensor-Based Compositional Settings
• On Linear Identifiability of Learned Representations
• walk2friends: Inferring Social Links from Mobility Profiles
• Semantic Embedding Space for Zero-Shot Action Recognition
• A Multi-cascaded Deep Model for Bilingual SMS Classification
• Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT
• Comparison of System Call Representations for Intrusion Detection
• Neural Personalized Response Generation as Domain Adaptation
• Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
• SWAG: Item Recommendations using Convolutions on Weighted Graphs
• Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
• NewsEmbed: Modeling News through Pre-trained Document Representations
• Using Neural Networks for Relation Extraction from Biomedical Literature
• Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
• Learning to Ask: Conversational Product Search via Representation Learning
• Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse
• Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
• How to Train Your Energy-Based Model for Regression
• Mixed-Precision Embedding Using a Cache
• Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases
• AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
• The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
• Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA
• Learning a Deep Embedding Model for Zero-Shot Learning
• Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures
• Progressive Transformers for End-to-End Sign Language Production
• Deep Multi-Instance Transfer Learning
• Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess
• SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation
• Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models
• Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation
• Learning Cross-Domain Representation with Multi-Graph Neural Network
• Porous Lattice-based Transformer Encoder for Chinese NER
• A Condense-then-Select Strategy for Text Summarization
• ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
• Triple Classification for Scholarly Knowledge Graph Completion
• DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
• SOLD: Sinhala Offensive Language Dataset
• Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures
• Universal Semi-Supervised Semantic Segmentation
• Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception
• A hybrid inference system for improved curvature estimation in the level-set method using machine learning
• Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal
• A Survey of Blocking and Filtering Techniques for Entity Resolution
• Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
• An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps
• CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations
• Luck Matters: Understanding Training Dynamics of Deep ReLU Networks
• Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words
• Probabilistic Models of Relational Implication
• Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations
• Moviescope: Large-scale Analysis of Movies using Multiple Modalities
• From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification
• Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia
• RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
• DeepBugs: A Learning Approach to Name-based Bug Detection
• Large-Scale Visual Relationship Understanding
• Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding
• Crosslingual Document Embedding as Reduced-Rank Ridge Regression
• NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers
• Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
• Zero-Shot Kernel Learning
• DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling
• Topic Modeling with Contextualized Word Representation Clusters
• NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
• Self-attention-based BiGRU and capsule network for named entity recognition
• ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
• Clinical Relation Extraction Using Transformer-based Models
• EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses
• Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots
• Style Example-Guided Text Generation using Generative Adversarial Transformers
• RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction
• A Deep Look into Neural Ranking Models for Information Retrieval
• Rethinking Assumptions in Deep Anomaly Detection
• City-level Geolocation of Tweets for Real-time Visual Analytics
• Taming Pretrained Transformers for Extreme Multi-label Text Classification
• Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
• S&P 500 Stock Price Prediction Using Technical, Fundamental and Text Data
• A Motion Taxonomy for Manipulation Embedding
• BoostingBERT:Integrating Multi-Class Boosting into BERT for NLP Tasks
• Learning Robust and Multilingual Speech Representations
• Sampling methods for efficient training of graph convolutional networks: A survey
• Automatic Labelling of Topics with Neural Embeddings
• CSNE: Conditional Signed Network Embedding
• Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets
• Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems
• Pre-training Text-to-Text Transformers for Concept-centric Common Sense
• Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition
• Neural Polysynthetic Language Modelling
• Preprocessing Methods and Pipelines of Data Mining: An Overview
• Component-Enhanced Chinese Character Embeddings
• Integrating Reviews into Personalized Ranking for Cold Start Recommendation
• Distilling Relation Embeddings from Pre-trained Language Models
• Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning
• Recommending on graphs: a comprehensive review from a data perspective
• Joint Reasoning for Multi-Faceted Commonsense Knowledge
• Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks
• Deep Semantic Dictionary Learning for Multi-label Image Classification
• Training Neural Machine Translation using Word Embedding-based Loss
• "What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding
• Exploiting stance hierarchies for cost-sensitive stance detection of Web documents
• Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
• Multilingual Question Answering from Formatted Text applied to Conversational Agents
• A Survey of Visual Analytics Techniques for Machine Learning
• An empirical study on large scale text classification with skip-gram embeddings
• End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
• Deep Graph Similarity Learning: A Survey
• Zero-Shot Learning with Common Sense Knowledge Graphs
• Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks
• PYInfer: Deep Learning Semantic Type Inference for Python Variables
• Redefining Context Windows for Word Embedding Models: An Experimental Study
• Revisiting the Context Window for Cross-lingual Word Embeddings
• Information Leakage in Embedding Models
• Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario
• Designing and Interpreting Probes with Control Tasks
• Collaborative Filtering via High-Dimensional Regression
• ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions
• Semantic Product Search
• The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers
• Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding
• Visual Text Correction
• Deep Multimodal Learning for Emotion Recognition in Spoken Language
• Semantic flow in language networks
• Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
• word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs
• Entity Linking Meets Deep Learning: Techniques and Solutions
• Quality of Word Embeddings on Sentiment Analysis Tasks
• Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
• Op2Vec: An Opcode Embedding Technique and Dataset Design for End-to-End Detection of Android Malware
• Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
• Unsupervised Dialog Structure Learning
• Topic-Centric Explanations for News Recommendation
• Knowledge Enhanced Contextual Word Representations
• Deep Patent Landscaping Model Using Transformer and Graph Embedding
• Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
• Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant
• Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?
• Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms
• Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey
• Neural Graph Embedding Methods for Natural Language Processing
• Accurate, Efficient and Scalable Training of Graph Neural Networks
• Sentiment Analysis for Sinhala Language using Deep Learning Techniques
• Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce
• Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine
• Semantic-aware Binary Code Representation with BERT
• Enriching Consumer Health Vocabulary Using Enhanced GloVe Word Embedding
• Vector representations of text data in deep learning
• Learning document embeddings along with their uncertainties
• Supervised Typing of Big Graphs using Semantic Embeddings
• Generating Summaries for Methods of Event-Driven Programs: an Android Case Study
• A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval
• Approximation capability of neural networks on spaces of probability measures and tree-structured domains
• Learning from Comparisons and Choices
• Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
• On Learning Universal Representations Across Languages
• Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems
• Distinguish Confusing Law Articles for Legal Judgment Prediction
• Product Classification in E-Commerce using Distributional Semantics
• Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code
• From genome to phenome: Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer
• Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training
• Comprehensible Context-driven Text Game Playing
• Probabilistic Label Trees for Extreme Multi-label Classification
• Is Machine Learning Speaking my Language? A Critical Look at the NLP-Pipeline Across 8 Human Languages
• Sex Trafficking Detection with Ordinal Regression Neural Networks
• SourceFinder: Finding Malware Source-Code from Publicly Available Repositories
• Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
• To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation
• Evolutionary Neural AutoML for Deep Learning
• Scalable Nearest Neighbor Search for Optimal Transport
• COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
• Image search using multilingual texts: a cross-modal learning approach between image and text
• Low-Resource Language Modelling of South African Languages
• An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
• Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
• Unsupervised Multilingual Alignment using Wasserstein Barycenter
• Investigating an approach for low resource language dataset creation, curation and classification: Setswana and Sepedi
• NLP-CUET@DravidianLangTech-EACL2021: Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes
• Censorship of Online Encyclopedias: Implications for NLP Models
• A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent
• ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks
• GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling
• Multilingual Visual Sentiment Concept Matching
• Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining
• COS960: A Chinese Word Similarity Dataset of 960 Word Pairs
• BioNerFlair: biomedical named entity recognition using flair embedding and sequence tagger
• Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs
• MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering
• Learning Structured Semantic Embeddings for Visual Recognition
• Performing Highly Accurate Predictions Through Convolutional Networks for Actual Telecommunication Challenges
• Linguistic Dependencies and Statistical Dependence
• Self-Guided Contrastive Learning for BERT Sentence Representations
• SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
• A Rank-Based Similarity Metric for Word Embeddings
• SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data
• Network Representation Learning: Consolidation and Renewed Bearing
• Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE
• Extracting Action Sequences from Texts Based on Deep Reinforcement Learning
• Lifelong Graph Learning
• Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification
• Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
• A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT
• Wide Network Learning with Differential Privacy
• LCEval: Learned Composite Metric for Caption Evaluation
• Context based Text-generation using LSTM networks
• Fine-Grained Named Entity Recognition using ELMo and Wikidata
• indicnlp@kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Languages
• Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
• Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
• Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word Embeddings
• Word Embedding Visualization Via Dictionary Learning
• Augmenting semantic lexicons using word embeddings and transfer learning
• Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
• Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
• Connectionist-Symbolic Machine Intelligence using Cellular Automata based Reservoir-Hyperdimensional Computing
• Audio Captioning using Gated Recurrent Units
• Machine Learning with World Knowledge: The Position and Survey
• Biomedical named entity recognition using BERT in the machine reading comprehension framework
• Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
• InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
• The Mechanism of Additive Composition
• Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks
• Submodular Hamming Metrics
• Give your Text Representation Models some Love: the Case for Basque
• Unsupervised Multilingual Word Embeddings
• Learning Emoji Embeddings using Emoji Co-occurrence Network Graph
• Simulation and Augmentation of Social Networks for Building Deep Learning Models
• Neuralogram: A Deep Neural Network Based Representation for Audio Signals
• The Technological Gap Between Virtual Assistants and Recommendation Systems
• ParaDime: A Framework for Parametric Dimensionality Reduction
• Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing
• Experiments with POS Tagging Code-mixed Indian Social Media Text
• edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
• Noise-Contrastive Estimation for Multivariate Point Processes
• Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
• Domain Authoring Assistant for Intelligent Virtual Agents
• COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce
• Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF
• Integrating Multimodal Information in Large Pretrained Transformers
• Variance-reduced Language Pretraining via a Mask Proposal Network
• Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots
• Zero-Shot Semantic Segmentation
• Learning to Infer Entities, Properties and their Relations from Clinical Conversations
• Machine Translation: A Literature Review
• Multi-label Contrastive Predictive Coding
• SCE: Scalable Network Embedding from Sparsest Cut
• Sentence Embeddings using Supervised Contrastive Learning
• Instantiation
• Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data
• Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision
• Question Answering on Linked Data: Challenges and Future Directions
• L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition
• Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness
• Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs
• A framework for anomaly detection using language modeling, and its applications to finance
• Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
• MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit
• Learning Similarity Conditions Without Explicit Supervision
• Multi-task Learning based Pre-trained Language Model for Code Completion
• Sequence embeddings help to identify fraudulent cases in healthcare insurance
• Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
• Filtered Inner Product Projection for Crosslingual Embedding Alignment
• To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
• Estimating semantic structure for the VQA answer space
• Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation
• Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs
• Explainable Rumor Detection using Inter and Intra-feature Attention Networks
• YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos
• Vulnerable to Misinformation? Verifi!
• Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile
• ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
• Learning Color Compatibility in Fashion Outfits
• The Geometry of Information Cocoon: Analyzing the Cultural Space with Word Embedding Models
• Keep CALM and Explore: Language Models for Action Generation in Text-based Games
• Neural IR Meets Graph Embedding: A Ranking Model for Product Search
• Multiple Kernel Representation Learning on Networks
• HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty
• Character-based NMT with Transformer
• Some open questions on morphological operators and representations in the deep learning era
• A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering
• Automated essay scoring using efficient transformer-based language models
• Biomedical Entity Representations with Synonym Marginalization
• Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models
• Multimodal Machine Learning for Automated ICD Coding
• An Empirical Study on Post-processing Methods for Word Embeddings
• Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
• Learning Topological Representation for Networks via Hierarchical Sampling
• The Epistemological Consequences of Large Language Models: Rethinking collective intelligence and institutional knowledge
• PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition
• The Gene Mover's Distance: Single-cell similarity via Optimal Transport
• DAWT: Densely Annotated Wikipedia Texts across multiple languages
• Deep Learning-based Sentiment Analysis in Persian Language
• Czert -- Czech BERT-like Model for Language Representation
• Modeling relation paths for knowledge base completion via joint adversarial training
• Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi
• Supporting Clustering with Contrastive Learning
• How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings
• A more globally accurate dimensionality reduction method using triplets
• The Benchmark Lottery
• Jointly embedding the local and global relations of heterogeneous graph for rumor detection
• Unsupervised Machine Commenting with Neural Variational Topic Model
• Negative Data Augmentation
• Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
• Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection
• baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling
• Summary Level Training of Sentence Rewriting for Abstractive Summarization
• Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All
• Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
• Clinical Named Entity Recognition using Contextualized Token Representations
• Hypernetworks for Continual Semi-Supervised Learning
• Exemplar Auditing for Multi-Label Biomedical Text Classification
• Pre-training Text Representations as Meta Learning
• DziriBERT: a Pre-trained Language Model for the Algerian Dialect
• Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions
• Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
• The Natural Language of Actions
• Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning
• Word and Document Embeddings based on Neural Network Approaches
• ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems
• KGClean: An Embedding Powered Knowledge Graph Cleaning Framework
• Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data
• UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs
• A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering
• Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
• Relaxed Softmax for learning from Positive and Unlabeled data
• Fidelity-Weighted Learning
• RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning
• A Clustering Framework for Lexical Normalization of Roman Urdu
• Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
• Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation
• Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
• Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
• A Benchmark Dataset for Learning to Intervene in Online Hate Speech
• VISIR: Visual and Semantic Image Label Refinement
• Correlation Coefficients and Semantic Textual Similarity
• Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline
• Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer
• Interpreting Knowledge Graph Relation Representation from Word Embeddings
• Evaluation of Sentence Representations in Polish
• Hierarchical RNN for Information Extraction from Lawsuit Documents
• Cross-GCN: Enhancing Graph Convolutional Network with $k$-Order Feature Interactions
• Graph Node-Feature Convolution for Representation Learning
• Semantic Annotation for Tabular Data
• Word2vec to behavior: morphology facilitates the grounding of language in machines
• Extreme Classification via Adversarial Softmax Approximation
• Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
• Opinion Recommendation using Neural Memory Model
• Mono vs Multilingual Transformer-based Models: a Comparison across Several Language Tasks
• Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
• A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning
• Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
• Visual Space Optimization for Zero-shot Learning
• SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
• A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
• Few-Shot Representation Learning for Out-Of-Vocabulary Words
• CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
• Extracting actionable information from microtexts
• Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic Deep Features
• Meta Feature Modulator for Long-tailed Recognition
• A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification
• Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems
• Long-Term Planning and Situational Awareness in OpenAI Five
• BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover's Distance
• What makes multilingual BERT multilingual?
• Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology
• Learning Multilingual Word Embeddings Using Image-Text Data
• Deconstructing and reconstructing word embedding algorithms
• SRQA: Synthetic Reader for Factoid Question Answering
• Aspect-based Opinion Summarization with Convolutional Neural Networks
• RiWalk: Fast Structural Node Embedding via Role Identification
• Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support
• Doc2Vec on the PubMed corpus: study of a new approach to generate related articles
• MeLIME: Meaningful Local Explanation for Machine Learning Models
• Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information
• Effective writing style imitation via combinatorial paraphrasing
• Domain Adaptation with Category Attention Network for Deep Sentiment Analysis
• Evaluation of taxonomic and neural embedding methods for calculating semantic similarity
• Resilient and Adaptive Framework for Large Scale Android Malware Fingerprinting using Deep Learning and NLP Techniques
• Low-Rank Subspaces for Unsupervised Entity Linking
• Improving Document Classification with Multi-Sense Embeddings
• Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation
• word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
• Case Studies on using Natural Language Processing Techniques in Customer Relationship Management Software
• Emergent Discrete Communication in Semantic Spaces
• Conterfactual Generative Zero-Shot Semantic Segmentation
• AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation
• Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
• Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model
• Variational Bayesian Context-aware Representation for Grocery Recommendation
• MAT: A simple yet strong baseline for identifying self-admitted technical debt
• Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning
• Neural Topic Modeling with Bidirectional Adversarial Training
• Composer Style Classification of Piano Sheet Music Images Using Language Model Pretraining
• A contribution to Optimal Transport on incomparable spaces
• Unsupervised Learning of Sentence Representations Using Sequence Consistency
• Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents
• k-simplex2vec: a simplicial extension of node2vec
• Generating Responses Expressing Emotion in an Open-domain Dialogue System
• ANAE: Learning Node Context Representation for Attributed Network Embedding
• Evaluation of contextual embeddings on less-resourced languages
• Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
• Deep Adversarial Social Recommendation
• qDKT: Question-centric Deep Knowledge Tracing
• Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model
• LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese
• Studying Product Competition Using Representation Learning
• Conditionally Deep Hybrid Neural Networks Across Edge and Cloud
• Wide Neural Networks with Bottlenecks are Deep Gaussian Processes
• Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces
• Learning Alignment for Multimodal Emotion Recognition from Speech
• Conditional Text Generation for Harmonious Human-Machine Interaction
• Implicit Knowledge in Argumentative Texts: An Annotated Corpus
• Topic-aware latent models for representation learning on networks
• Trimming and Improving Skip-thought Vectors
• Provable benefits of representation learning
• Understanding the Downstream Instability of Word Embeddings
• Unsupervised Abbreviation Disambiguation Contextual disambiguation using word embeddings
• VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
• Marked Attribute Bias in Natural Language Inference
• Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading
• Exact Recovery of Community Structures Using DeepWalk and Node2vec
• Calibrating and Improving Graph Contrastive Learning
• BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?
• Visual and Textual Sentiment Analysis Using Deep Fusion Convolutional Neural Networks
• Word Embedding based New Corpus for Low-resourced Language: Sindhi
• Argument Identification in Public Comments from eRulemaking
• On Event Causality Detection in Tweets
• SWAT: A System for Detecting Salient Wikipedia Entities in Texts
• Robotic Self-Assessment of Competence
• QUINT: Node embedding using network hashing
• Attention-based model for predicting question relatedness on Stack Overflow
• Sparse Graph Attention Networks
• Improving Joint Layer RNN based Keyphrase Extraction by Using Syntactical Features
• Exploring the Distribution Regularities of User Attention and Sentiment toward Product Aspects in Online Reviews
• Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation
• NeuNetS: An Automated Synthesis Engine for Neural Network Design
• When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting
• Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
• Automatic Malware Description via Attribute Tagging and Similarity Embedding
• Optimal quantization of the mean measure and applications to statistical learning
• Unsupervised Euclidean Distance Attack on Network Embedding
• Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves
• Investigating an Effective Character-level Embedding in Korean Sentence Classification
• Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks
• Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
• Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines
• "The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders
• Dynamic Natural Language Processing with Recurrence Quantification Analysis
• Event-based Access to Historical Italian War Memoirs
• Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
• Few-Shot NLG with Pre-Trained Language Model
• Price-aware Recommendation with Graph Convolutional Networks
• Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation
• Argument Mining for Understanding Peer Reviews
• Whatcha lookin' at? DeepLIFTing BERT's Attention in Question Answering
• KGvec2go -- Knowledge Graph Embeddings as a Service
• Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia
• An Analysis of Lemmatization on Topic Models of Morphologically Rich Language
• Named entity recognition in chemical patents using ensemble of contextual language models
• Parsing as Pretraining
• Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation
• Towards a simplified ontology for better e-commerce search
• Differentiable programming and its applications to dynamical systems
• Improving Textual Network Embedding with Global Attention via Optimal Transport
• On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic
• iPhone's Digital Marketplace: Characterizing the Big Spenders
• Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
• Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction
• Dynamic Network Embeddings for Network Evolution Analysis
• From Node Embedding To Community Embedding : A Hyperbolic Approach
• Self-Supervised Dialogue Learning
• Evaluating Style Transfer for Text
• RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
• "I know it when I see it". Visualization and Intuitive Interpretability
• Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
• Graph Reordering for Cache-Efficient Near Neighbor Search
• SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding
• ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
• Topology of Word Embeddings: Singularities Reflect Polysemy
• R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
• PAC-Bayesian Contrastive Unsupervised Representation Learning
• A Practical Incremental Learning Framework For Sparse Entity Extraction
• UER: An Open-Source Toolkit for Pre-training Models
• S2ORC: The Semantic Scholar Open Research Corpus
• Evolving Character-level Convolutional Neural Networks for Text Classification
• Journalistic Guidelines Aware News Image Captioning
• CONE: Community Oriented Network Embedding
• Distributed Training of Graph Convolutional Networks using Subgraph Approximation
• Negative sampling in semi-supervised learning
• Nested Multiple Instance Learning in Modelling of HTTP network traffic
• An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training
• Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast
• Cyber-Attack Consequence Prediction
• SemanticAxis: Exploring Multi-attribute Data by Semantics Construction and Ranking Analysis
• The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family
• Deep Loopy Neural Network Model for Graph Structured Data Representation Learning
• Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding
• MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop
• CorDEL: A Contrastive Deep Learning Approach for Entity Linkage
• Situating Sentence Embedders with Nearest Neighbor Overlap
• Sentiment Analysis with Contextual Embeddings and Self-Attention
• Detecting Transaction-based Tax Evasion Activities on Social Media Platforms Using Multi-modal Deep Neural Networks
• Unsupervised Adversarial Graph Alignment with Graph Embedding
• Two-path Deep Semi-supervised Learning for Timely Fake News Detection
• Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
• Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
• Stress Test Evaluation of Biomedical Word Embeddings
• A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition
• Policy-GNN: Aggregation Optimization for Graph Neural Networks
• A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users
• Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces
• Self-Attention Enhanced Patient Journey Understanding in Healthcare System
• An Effective Label Noise Model for DNN Text Classification
• Telescoping Density-Ratio Estimation
• Pre-training Graph Transformer with Multimodal Side Information for Recommendation
• The Panacea Threat Intelligence and Active Defense Platform
• CORE: Automating Review Recommendation for Code Changes
• Detecting state of aggression in sentences using CNN
• Semi-Supervised Learning on Graphs Based on Local Label Distributions
• Unsupervised Lemmatization as Embeddings-Based Word Clustering
• Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
• Text Embeddings for Retrieval From a Large Knowledge Base
• Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
• Representation Learning of EHR Data via Graph-Based Medical Entity Embedding
• Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning
• Mixed Supervised Object Detection with Robust Objectness Transfer
• Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space
• DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression
• Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
• Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
• Sentiment analysis in tweets: an assessment study from classical to modern text representation models
• Audio-Linguistic Embeddings for Spoken Sentences
• POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence
• Which way? Direction-Aware Attributed Graph Embedding
• Legal Area Classification: A Comparative Study of Text Classifiers on Singapore Supreme Court Judgments
• Understanding and Improving Proximity Graph based Maximum Inner Product Search
• Self-Attentive Model for Headline Generation
• Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback
• Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval
• Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment
• How Can BERT Help Lexical Semantics Tasks?
• Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
• Negative Training for Neural Dialogue Response Generation
• MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure
• Finding Similar Medical Questions from Question Answering Websites
• Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis
• On Approximation Guarantees for Greedy Low Rank Optimization
• Query expansion with artificially generated texts
• Natural Language QA Approaches using Reasoning with External Knowledge
• Learning Vertex Representations for Bipartite Networks
• Morphological Disambiguation from Stemming Data
• TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
• Do We Need Online NLU Tools?
• Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
• Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood
• Learning Dense Representations of Phrases at Scale
• Towards Semantic Query Segmentation
• A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis
• Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization
• A Survey On Neural Word Embeddings
• Learning Credible Deep Neural Networks with Rationale Regularization
• Classifier and Exemplar Synthesis for Zero-Shot Learning
• VRFP: On-the-fly Video Retrieval using Web Images and Fast Fisher Vector Products
• Assigning function to protein-protein interactions: a weakly supervised BioBERT based approach using PubMed abstracts
• Light-Weighted CNN for Text Classification
• Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
• Addressing Class Imbalance in Federated Learning
• Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion
• Evaluation of Greek Word Embeddings
• A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media
• Consistent Alignment of Word Embedding Models
• Dirichlet-Smoothed Word Embeddings for Low-Resource Settings
• Improving Entity Linking by Modeling Latent Entity Type Information
• Dictionary-based Debiasing of Pre-trained Word Embeddings
• M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation
• A Joint Model for Word Embedding and Word Morphology
• Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy
• Learning Object-Centric Video Models by Contrasting Sets
• Relation Structure-Aware Heterogeneous Information Network Embedding
• Probing Image-Language Transformers for Verb Understanding
• Supervised Fine Tuning for Word Embedding with Integrated Knowledge
• DeepSoft: A vision for a deep model of software
• Class label autoencoder for zero-shot learning
• Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval
• Bayesian Paragraph Vectors
• Programmable Agents
• Graph Embeddings at Scale
• Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System
• Joint Detection of Malicious Domains and Infected Clients
• Threshold-Based Retrieval and Textual Entailment Detection on Legal Bar Exam Questions
• LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
• A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
• Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task
• Learning from Videos with Deep Convolutional LSTM Networks
• How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
• Identification, Interpretability, and Bayesian Word Embeddings
• Wasserstein-Fisher-Rao Document Distance
• Representation Learning for Heterogeneous Information Networks via Embedding Events
• Understanding Composition of Word Embeddings via Tensor Decomposition
• Attributed Network Embedding via Subspace Discovery
• LNEMLC: Label Network Embeddings for Multi-Label Classification
• Pre-Training for Query Rewriting in A Spoken Language Understanding System
• Social Centralization and Semantic Collapse: Hyperbolic Embeddings of Networks and Text
• Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence
• Learning Numeral Embeddings
• Citation Recommendations Considering Content and Structural Context Embedding
• Positional Attention-based Frame Identification with BERT: A Deep Learning Approach to Target Disambiguation and Semantic Frame Selection
• NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification
• Interpretable Text Classification Using CNN and Max-pooling
• Unsupervised Representation for EHR Signals and Codes as Patient Status Vector
• Tree-Wasserstein Barycenter for Large-Scale Multilevel Clustering and Scalable Bayes
• Improving Pre-Trained Multilingual Models with Vocabulary Expansion
• Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation
• Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
• Code-switching pre-training for neural machine translation
• DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
• Document Similarity from Vector Space Densities
• Multi-Stage Influence Function
• Our Evaluation Metric Needs an Update to Encourage Generalization
• Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models
• Communicative need modulates competition in language change
• On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation
• A Comparative Study of Lexical Substitution Approaches based on Neural Language Models
• Combining Word Embeddings and N-grams for Unsupervised Document Summarization
• Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora
• Efficient pre-training objectives for Transformers
• A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
• Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
• Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance
• Condition Sensing for Electricity Infrastructure in Disasters by Mining Public Topics from Social Media
• Fault Localization with Code Coverage Representation Learning
• Semantically-Conditioned Negative Samples for Efficient Contrastive Learning
• A Study of Continuous Vector Representationsfor Theorem Proving
• JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms
• A hybrid deep-learning approach for complex biochemical named entity recognition
• InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction
• Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
• Exploiting Behavioral Consistence for Universal User Representation
• Are Chess Discussions Racist? An Adversarial Hate Speech Data Set
• XDA: Accurate, Robust Disassembly with Transfer Learning
• Chinese Grammatical Correction Using BERT-based Pre-trained Model
• Zero-Shot Audio Classification via Semantic Embeddings
• Automated Detection of GDPR Disclosure Requirements in Privacy Policies using Deep Active Learning
• Discovering Supply Chain Links with Augmented Intelligence
• Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning
• Phonetic Word Embeddings
• Transfer Learning in Electronic Health Records through Clinical Concept Embedding
• Hierarchical Text Classification of Urdu News using Deep Neural Network
• GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph
• Trainable Discrete Feature Embeddings for Variational Quantum Classifier
• 50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts
• SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neural network optimization
• An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
• Preserving Semantics in Textual Adversarial Attacks
• Incorporating Word Sense Disambiguation in Neural Language Models
• An Adversarial Transfer Network for Knowledge Representation Learning
• The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
• Graph Cross Networks with Vertex Infomax Pooling
• Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question Answering
• Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
• Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding
• Prior Art Search and Reranking for Generated Patent Text
• Predicting Job-Hopping Motive of Candidates Using Answers to Open-ended Interview Questions
• Next Waves in Veridical Network Embedding
• A Novel Distributed Representation of News (DRNews) for Stock Market Predictions
• Topological Data Analysis in Text Classification: Extracting Features with Additive Information
• ARDA: Automatic Relational Data Augmentation for Machine Learning
• Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
• Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model
• Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings
• Flow Contrastive Estimation of Energy-Based Models
• Event detection in Colombian security Twitter news using fine-grained latent topic analysis
• Flow-based Alignment Approaches for Probability Measures in Different Spaces
• Explainable Product Search with a Dynamic Relation Embedding Model
• Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report
• An Improved Neural Baseline for Temporal Relation Extraction
• SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
• Using Contextual Information to Improve Blood Glucose Prediction
• Intent term selection and refinement in e-commerce queries
• ELG: An Event Logic Graph
• Learning Conceptual-Contextual Embeddings for Medical Text
• Initialization for Network Embedding: A Graph Partition Approach
• DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding
• Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank
• Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
• Asynchronous Training of Word Embeddings for Large Text Corpora
• Variational Self-attention Model for Sentence Representation
• Bi-Adversarial Auto-Encoder for Zero-Shot Learning
• Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding
• Bringing back simplicity and lightliness into neural image captioning
• Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks
• Neural network approach to classifying alarming student responses to online assessment
• Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis
• Revisiting Cross Modal Retrieval
• Pangloss: Fast Entity Linking in Noisy Text Environments
• Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme
• Textual Membership Queries
• DeepQoE: A unified Framework for Learning to Predict Video QoE
• Equation Embeddings
• Data Curation with Deep Learning [Vision]
• Unsupervised Document Embedding With CNNs
• Sketching Word Vectors Through Hashing
• CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations
• Neural Recovery Machine for Chinese Dropped Pronoun
• Latent Tree Models for Hierarchical Topic Detection
• On Deep Representation Learning from Noisy Web Images
• Towards a Better Understanding of Predict and Count Models
• Modeling User Exposure in Recommendation
• Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba
• Towards NLP with Deep Learning: Convolutional Neural Networks and Recurrent Neural Networks for Offensive Language Identification in Social Media
• Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources
• Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition
• A little goes a long way: Improving toxic language classification despite data scarcity
• Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models
• Data-driven Smart Ponzi Scheme Detection
• Data-driven models and computational tools for neurolinguistics: a language technology perspective
• Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives
• Learning Representations For Images With Hierarchical Labels
• A Stable Variational Autoencoder for Text Modelling
• Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT
• Learning to Evolve on Dynamic Graphs
• Learning State Representations in Complex Systems with Multimodal Data
• Feature extraction using Latent Dirichlet Allocation and Neural Networks: A case study on movie synopses
• Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images
• Forecasting in multivariate irregularly sampled time series with missing values
• Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form
• Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition
• DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding
• Emergence of Numeric Concepts in Multi-Agent Autonomous Communication
• RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data
• Practical and Light-weight Secure Aggregation for Federated Submodel Learning
• Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks
• Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings
• Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
• Towards Plausible Graph Anonymization
• Delving into Data: Effectively Substitute Training for Black-box Attack
• Obj-GloVe: Scene-Based Contextual Object Embedding
• Terminology-based Text Embedding for Computing Document Similarities on Technical Content
• Automating App Review Response Generation Based on Contextual Knowledge
• Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces
• Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
• Evaluation of Morphological Embeddings for the Russian Language
• CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
• Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval
• Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors
• TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
• A Structured Distributional Model of Sentence Meaning and Processing
• Multi Sense Embeddings from Topic Models
• A Graph-Based Framework to Bridge Movies and Synopses
• Neurlux: Dynamic Malware Analysis Without Feature Engineering
• Sentiment of tweets and socio-economic characteristics as the determinants of voting behavior at the regional level. Case study of 2019 Polish parliamentary election
• Discovering topics in text datasets by visualizing relevant words
• Sentiment Analysis for Roman Urdu Text over Social Media, a Comparative Study
• Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation
• Neural Attentive Bag-of-Entities Model for Text Classification
• Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain
• Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text Classification
• SesameBERT: Attention for Anywhere
• Tree-Sliced Variants of Wasserstein Distances
• Hierarchical Prototype Learning for Zero-Shot Recognition
• Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning
• Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
• Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives
• PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions
• Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
• Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks
• Optimizing small BERTs trained for German NER
• K-XLNet: A General Method for Combining Explicit Knowledge with Language Model Pretraining
• Exploiting Unsupervised Data for Emotion Recognition in Conversations
• GRUEN for Evaluating Linguistic Quality of Generated Text
• NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic
• Leveraging Team Dynamics to Predict Open-source Software Projects' Susceptibility to Social Engineering Attacks
• This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
• Probing Acoustic Representations for Phonetic Properties
• Friendship is All we Need: A Multi-graph Embedding Approach for Modeling Customer Behavior
• Interactive Refinement of Cross-Lingual Word Embeddings
• Meta-path Free Semi-supervised Learning for Heterogeneous Networks
• Differentially Private Adversarial Robustness Through Randomized Perturbations
• A Robust and Generalized Framework for Adversarial Graph Embedding
• FRUGAL: Unlocking SSL for Software Analytics
• Are Emojis Emotional? A Study to Understand the Association between Emojis and Emotions
• Inducing and Embedding Senses with Scaled Gumbel Softmax
• Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification
• Getting Started with Neural Models for Semantic Matching in Web Search
• Text Similarity Using Word Embeddings to Classify Misinformation
• Triple2Vec: Learning Triple Embeddings from Knowledge Graphs
• Parameter Efficient Deep Neural Networks with Bilinear Projections
• Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning
• Supervised Ontology and Instance Matching with MELT
• Semi-Supervised Learning on Graphs through Reach and Distance Diffusion
• Deep Co-Attention Network for Multi-View Subspace Learning
• Deep Fourier Kernel for Self-Attentive Point Processes
• Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
• Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering
• Reference-Based Sequence Classification
• Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces
• Automatic Neural Lyrics and Melody Composition
• Embedding Code Contexts for Cryptographic API Suggestion:New Methodologies and Comparisons
• The relational processing limits of classic and contemporary neural network models of language processing
• Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance
• Resolving Intent Ambiguities by Retrieving Discriminative Clarifying Questions
• SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification
• Text Mining Undergraduate Engineering Programs' Applications: the Role of Gender, Nationality, and Socio-economic Status
• Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities
• ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses
• Incorporating Visual Semantics into Sentence Representations within a Grounded Space
• A Structural Representation Learning for Multi-relational Networks
• Deep Neural Networks for Relation Extraction
• Improving Online Forums Summarization via Hierarchical Unified Deep Neural Network
• A Novel Incremental Cross-Modal Hashing Approach
• BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
• ACD: Action Concept Discovery from Image-Sentence Corpora
• Modeling Musical Taste Evolution with Recurrent Neural Networks
• Implicit SVD for Graph Representation Learning
• Joint Neural Entity Disambiguation with Output Space Search
• Do Language Embeddings Capture Scales?
• A Neural Network Architecture for Learning Word-Referent Associations in Multiple Contexts
• Open Loop Hyperparameter Optimization and Determinantal Point Processes
• A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
• Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
• Positive emotions help rank negative reviews in e-commerce
• Structural-Aware Sentence Similarity with Recursive Optimal Transport
• Argument from Old Man's View: Assessing Social Bias in Argumentation
• BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining
• Interaction Matching for Long-Tail Multi-Label Classification
• Language in Our Time: An Empirical Analysis of Hashtags
• "The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition
• Social Connection Induces Cultural Contraction: Evidence from Hyperbolic Embeddings of Social and Semantic Networks
• Predicting Missing Information of Key Aspects in Vulnerability Reports
• Write a Classifier: Predicting Visual Classifiers from Unstructured Text
• A Thousand Words are Worth More Than One Recording: NLP Based Speaker Change Point Detection
• The Atlas for the Aspiring Network Scientist
• Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
• Research Progress of News Recommendation Methods
• Knowledge-Base Enriched Word Embeddings for Biomedical Domain
• UzBERT: pretraining a BERT model for Uzbek
• Order embeddings and character-level convolutions for multimodal alignment
• An Approach to Improve Robustness of NLP Systems against ASR Errors
• Unsupervised Document Embedding via Contrastive Augmentation
• Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling
• One-Shot Weakly Supervised Video Object Segmentation
• Sampling Sketches for Concave Sublinear Functions of Frequencies
• Machine Learning for Mediation in Armed Conflicts
• Comparing approaches for mitigating intergroup variability in personality recognition
• An Attentional Neural Network Architecture for Folk Song Classification
• How did the discussion go: Discourse act classification in social media conversations
• Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions
• On-Device Sentence Similarity for SMS Dataset
• Investigating Self-Attention Network for Chinese Word Segmentation
• Search and Learning for Unsupervised Text Generation
• Evaluating Modules in Graph Contrastive Learning
• Enhancing Sindhi Word Segmentation using Subword Representation Learning and Position-aware Self-attention
• ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN
• Invertible Zero-Shot Recognition Flows
• A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations
• A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification
• Brain-inspired Search Engine Assistant based on Knowledge Graph
• Conceptual Text Summarizer: A new model in continuous vector space
• FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
• Machine Learning Meets Natural Language Processing -- The story so far
• Unsupervised Representation Learning by Predicting Random Distances
• Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
• Attentive Representation Learning with Adversarial Training for Short Text Clustering
• A First Step in Combining Cognitive Event Features and Natural Language Representations to Predict Emotions
• A Deep Neural Information Fusion Architecture for Textual Network Embeddings
• Learnt dynamics generalizes across tasks, datasets, and populations
• Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
• Auto Analysis of Customer Feedback using CNN and GRU Network
• Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation
• Dual-Attention Graph Convolutional Network
• Tight Sensitivity Bounds For Smaller Coresets
• AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition
• Merchant Category Identification Using Credit Card Transactions
• An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
• Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance
• Self-Supervised Euphemism Detection and Identification for Content Moderation
• InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity
• Doubly-stochastic mining for heterogeneous retrieval
• SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation
• AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets
• Relation Extraction with Explanation
• Accurate Hydrologic Modeling Using Less Information
• Visual Semantic Information Pursuit: A Survey
• Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots
• Graph Embedding Based Hybrid Social Recommendation System
• Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering
• Evaluating Semantic Interaction on Word Embeddings via Simulation
• Learning Bilingual Word Embeddings Using Lexical Definitions
• COBE: Contextualized Object Embeddings from Narrated Instructional Video
• Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics
• Sampled Softmax with Random Fourier Features
• Structure-Invariant Testing for Machine Translation
• A mathematical model for universal semantics
• Understanding Action Sequences based on Video Captioning for Learning-from-Observation
• Recurrent Point Review Models
• Tripartite Vector Representations for Better Job Recommendation
• Using Holographically Compressed Embeddings in Question Answering
• Building domain specific lexicon based on TikTok comment dataset
• Image Captioning with Unseen Objects
• Representation Learning-Assisted Click-Through Rate Prediction
• Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
• Scalable Data Classification for Security and Privacy
• Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification
• Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
• Ontology-guided Semantic Composition for Zero-Shot Learning
• Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings
• Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning
• Minimally Supervised Categorization of Text with Metadata
• Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network
• IPRE: a Dataset for Inter-Personal Relationship Extraction
• Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability
• Learning Word Embeddings for Hyponymy with Entailment-Based Distributional Semantics
• An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features
• An Explainable CNN Approach for Medical Codes Prediction from Clinical Text
• Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
• Graph Embedding with Rich Information through Heterogeneous Network
• Content Selection Network for Document-grounded Retrieval-based Chatbots
• Automatic learner summary assessment for reading comprehension
• Entropy Partial Transport with Tree Metrics: Theory and Practice
• Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
• "I Cannot Do All of This Alone": Exploring Instrumental and Prayer Support in Online Health Communities
• Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
• Rehabilitation of Count-based Models for Word Vector Representations
• A Unified Neural Coherence Model
• Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
• RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language
• Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning
• Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
• NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction
• Efficient Sentence Embedding using Discrete Cosine Transform
• Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
• Model-Agnostic Graph Regularization for Few-Shot Learning
• Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation
• An innovative solution for breast cancer textual big data analysis
• Gender Bias, Social Bias and Representation: 70 Years of B${}^H$ollywood
• Large Scale Question Answering using Tourism Data
• An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
• Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?
• Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks
• Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
• Polysemy Detection in Distributed Representation of Word Sense
• EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning
• Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity
• Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
• Evaluate On-the-job Learning Dialogue Systems and a Case Study for Natural Language Understanding
• Matching Text with Deep Mutual Information Estimation
• Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
• Explore User Neighborhood for Real-time E-commerce Recommendation
• GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses
• Cross-Domain Ambiguity Detection using Linear Transformation of Word Embedding Spaces
• Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages
• Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
• Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning
• MetaView: Few-shot Active Object Recognition
• Spatial Priming for Detecting Human-Object Interactions
• Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge
• Meta-Embeddings Based On Self-Attention
• Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
• Modularized Textual Grounding for Counterfactual Resilience
• Interpreting Verbal Metaphors by Paraphrasing
• Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back
• PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction
• VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
• Dataset of Solution-based Inorganic Materials Synthesis Recipes Extracted from the Scientific Literature
• Multiplicative Decomposition of Heterogeneity in Mixtures of Continuous Distributions
• Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems
• Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss
• Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning
• Do RNN States Encode Abstract Phonological Processes?
• Multilevel Text Normalization with Sequence-to-Sequence Networks and Multisource Learning
• Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations
• Low Rank Factorization for Compact Multi-Head Self-Attention
• Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech Detection
• Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes
• Evaluating Neural Word Embeddings for Sanskrit
• Corpus-Level End-to-End Exploration for Interactive Systems
• Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms
• A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets
• Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment
• Graph Attention Networks with Positional Embeddings
• Efficient Approximate Search for Sets of Vectors
• Revelio: ML-Generated Debugging Queries for Distributed Systems
• Linguistically Informed Masking for Representation Learning in the Patent Domain
• Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning
• Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis
• Gradient-based Adversarial Attacks against Text Transformers
• DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation
• Disentangled Contrastive Learning for Learning Robust Textual Representations
• Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
• Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry
• Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes
• Fusing Visual, Textual and Connectivity Clues for Studying Mental Health
• Control Matching via Discharge Code Sequences
• PAC-Bayes Analysis of Sentence Representation
• A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
• ArGoT: A Glossary of Terms extracted from the arXiv
• BLESER: Bug Localization Based on Enhanced Semantic Retrieval
• Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
• Unsupervised User Identity Linkage via Factoid Embedding
• Social Analysis of Young Basque Speaking Communities in Twitter
• Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
• Semi-Supervised Class Discovery
• Time Masking for Temporal Language Models
• Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning
• Land Cover Mapping in Limited Labels Scenario: A Survey
• GILE: A Generalized Input-Label Embedding for Text Classification
• Higher order co-occurrence tensors for hypergraphs via face-splitting
• Cluster-based Mention Typing for Named Entity Disambiguation
• Fast Extraction of Word Embedding from Q-contexts
• Recursive Training for Zero-Shot Semantic Segmentation
• Android Security using NLP Techniques: A Review
• Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
• Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
• Fully Scalable Gaussian Processes using Subspace Inducing Inputs
• Dynamic inference of user context through social tag embedding for music recommendation
• Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection In Task Oriented Dialog
• Expansional Retrofitting for Word Vector Enrichment
• Multiple Character Embeddings for Chinese Word Segmentation
• Smart Home Appliances: Chat with Your Fridge
• Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning
• AI and Holistic Review: Informing Human Reading in College Admissions
• Basic Principles of Clustering Methods
• Vector Space Morphology with Linear Discriminative Learning
• Scalable Bayesian Modelling of Paired Symbols
• Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets
• Joint Concept Matching based Learning for Zero-Shot Recognition
• Dimension Projection among Languages based on Pseudo-relevant Documents for Query Translation
• Natural Language Generation Using Reinforcement Learning with External Rewards
• Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations
• Learning Word Embeddings from Intrinsic and Extrinsic Views
• Interpretable Visual Reasoning via Induced Symbolic Space
• Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path
• Empirical Autopsy of Deep Video Captioning Frameworks
• Towards Music Captioning: Generating Music Playlist Descriptions
• BCWS: Bilingual Contextual Word Similarity
• Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages
• Ranking Creative Language Characteristics in Small Data Scenarios
• HeMIS: Hetero-Modal Image Segmentation
• Informed Democracy: Voting-based Novelty Detection for Action Recognition
• Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification
• A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis
• Probing Contextualized Sentence Representations with Visual Awareness
• Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
• Finding the most similar textual documents using Case-Based Reasoning
• Deep Bidirectional Transformers for Relation Extraction without Supervision
• Beyond "How may I help you?": Assisting Customer Service Agents with Proactive Responses
• Fine-Grained Object Detection over Scientific Document Images with Region Embeddings
• HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media
• Textual Data for Time Series Forecasting
• Sense Embedding Learning for Word Sense Induction
• Comparison of Quality Indicators in User-generated Content Using Social Media and Scholarly Text
• USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity
• Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections
• CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records
• On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages
• Biomedical Mention Disambiguation using a Deep Learning Approach
• Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection
• Latent Variable Session-Based Recommendation
• Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism
• DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings
• BERT for Monolingual and Cross-Lingual Reverse Dictionary
• Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
• AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings
• Global Textual Relation Embedding for Relational Understanding
• Performance Analysis of Deep Learning Workloads on Leading-edge Systems
• On the selection of the correct number of terms for profile construction: theoretical and empirical analysis
• Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey
• Deriving Visual Semantics from Spatial Context: An Adaptation of LSA and Word2Vec to generate Object and Scene Embeddings from Images
• Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
• A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project
• More Embeddings, Better Sequence Labelers?
• SOLAR: Sparse Orthogonal Learned and Random Embeddings
• OWL2Vec*: Embedding of OWL Ontologies
• Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs
• Speech Sentiment and Customer Satisfaction Estimation in Socialbot Conversations
• A Variational Approach to Unsupervised Sentiment Analysis
• Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain
• Label-Wise Document Pre-Training for Multi-Label Text Classification
• BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
• A Survey on Large-scale Machine Learning
• Emotion Cognizance Improves Health Fake News Identification
• Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
• Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine
• On the Coherence of Fake News Articles
• Cyclic Label Propagation for Graph Semi-supervised Learning
• Estimating Motion Codes from Demonstration Videos
• Neural Text Classification by Jointly Learning to Cluster and Align
• On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
• A Novel Multimodal Music Genre Classifier using Hierarchical Attention and Convolutional Neural Network
• The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability
• A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems
• Assessing the Effectiveness of Syntactic Structure to Learn Code Edit Representations
• Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs
• Meaning guided video captioning
• Subtask-dominated Transfer Learning for Long-tail Person Search
• PairConnect: A Compute-Efficient MLP Alternative to Attention
• Semantic Representation and Inference for NLP
• WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
• Social Fraud Detection Review: Methods, Challenges and Analysis
• The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning
• VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
• Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter
• Ousiometrics: The essence of meaning aligns with a power-danger-structure framework instead of valence-arousal-dominance
• From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science
• Analyzing Research Trends in Inorganic Materials Literature Using NLP
• Weak Novel Categories without Tears: A Survey on Weak-Shot Learning
• A Controlled Experiment of Different Code Representations for Learning-Based Bug Repair
• Scalable Graph Embedding LearningOn A Single GPU
• Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
• Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
• Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding
• Argument Linking: A Survey and Forecast
• Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
• Text Classification and Clustering with Annealing Soft Nearest Neighbor Loss
• Deep Pairwise Learning To Rank For Search Autocomplete
• GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding
• Asymptotics of Network Embeddings Learned via Subsampling
• Network-based Topic Interaction Map for Big Data Mining of COVID-19 Biomedical Literature
• pix2rule: End-to-end Neuro-symbolic Rule Learning
• SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
• Teaching a Massive Open Online Course on Natural Language Processing
• Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference
• Autoencoding Under Normalization Constraints
• rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm
• Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling
• Opinions are Made to be Changed: Temporally Adaptive Stance Classification
• Robust Dynamic Network Embedding via Ensembles
• Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling
• A Bi-Encoder LSTM Model For Learning Unstructured Dialogs
• Problem Learning: Towards the Free Will of Machines
• Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management
• CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration
• Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
• Signal-domain representation of symbolic music for learning embedding spaces
• Knowledge Transfer with Medical Language Embeddings
• Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
• Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
• Self-supervised Contrastive Learning for EEG-based Sleep Staging
• BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
• ML Based Lineage in Databases
• Efficient Multi-Modal Embeddings from Structured Data
• Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring
• Vocabulary Learning via Optimal Transport for Neural Machine Translation
• Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning
• Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
• Hybrid Mutimodal Fusion for Dimensional Emotion Recognition
• End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics
• Word2vec Conjecture and A Limitative Result
• Hierarchical User Intent Graph Network forMultimedia Recommendation
• A Factorized Recurrent Neural Network based architecture for medium to large vocabulary Language Modelling
• Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
• Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communities
• Extending Implicit Discourse Relation Recognition to the PDTB-3
• When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models
• An ensemble learning approach for software semantic clone detection
• Hierarchical Metadata-Aware Document Categorization under Weak Supervision
• Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
• A Cross-lingual Natural Language Processing Framework for Infodemic Management
• BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
• UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling
• Learning Representations of Hierarchical Slates in Collaborative Filtering
• Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
• GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs
• Debiasing Convolutional Neural Networks via Meta Orthogonalization
• Argumentative Topology: Finding Loop(holes) in Logic
• From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews
• An exploration of the encoding of grammatical gender in word embeddings
• Discrete Word Embedding for Logical Natural Language Understanding
• Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation
• Event Specific Multimodal Pattern Mining with Image-Caption Pairs
• SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change
• CX DB8: A queryable extractive summarizer and semantic search engine
• Towards Recognizing New Semantic Concepts in New Visual Domains
• TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network
• Whom to Test? Active Sampling Strategies for Managing COVID-19
• Situation and Behavior Understanding by Trope Detection on Films
• A computational model implementing subjectivity with the 'Room Theory'. The case of detecting Emotion from Text
• $k$-Neighbor Based Curriculum Sampling for Sequence Prediction
• CNN Application in Detection of Privileged Documents in Legal Document Review
• Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots
• Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
• Contextual Skipgram: Training Word Representation Using Context Information
• Decomposing Word Embedding with the Capsule Network
• Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding
• Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security
• Temporal Network Representation Learning via Historical Neighborhoods Aggregation
• Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base
• User Factor Adaptation for User Embedding via Multitask Learning
• Transfer between long-term and short-term memory using Conceptors
• Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes
• Clusterplot: High-dimensional Cluster Visualization
• Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning
• Clustering Words by Projection Entropy
• PA-Cache: Evolving Learning-Based Popularity-Aware Content Caching in Edge Networks
• Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
• Variational Bayesian Quantization
• Neural Relation Prediction for Simple Question Answering over Knowledge Graph
• A New Approach for Scalable Analysis of Microbial Communities
• Graph-Based Tri-Attention Network for Answer Ranking in CQA
• Macromolecule Classification Based on the Amino-acid Sequence
• An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information
• Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas
• Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
• Keyword Aware Influential Community Search in Large Attributed Graphs
• Neural Network Surgery with Sets
• Why is AI hard and Physics simple?
• Multimodal Prediction based on Graph Representations
• KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph
• Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures
• Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network
• Query2Prod2Vec Grounded Word Embeddings for eCommerce
• Text classification with pixel embedding
• mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding
• Variational Inference for Category Recommendation in E-Commerce platforms
• Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
• Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models
• Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
• Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology
• Autoencoding Word Representations through Time for Semantic Change Detection
• Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control
• Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies
• Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data
• Lite Audio-Visual Speech Enhancement
• Distributed representation of patients and its use for medical cost prediction
• Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models
• Temporal Network Embedding with Micro- and Macro-dynamics
• Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents
• Seeing the Forest and the Trees: Detection and Cross-Document Coreference Resolution of Militarized Interstate Disputes
• Towards Embodied Scene Description
• Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
• Automatic Dialogic Instruction Detection for K-12 Online One-on-one Classes
• Empirical Study of Diachronic Word Embeddings for Scarce Data
• Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings
• Interpretable Word Embeddings via Informative Priors
• Unsupervised Embedding-based Detection of Lexical Semantic Changes
• Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space
• A Hybrid Approach to Enhance Pure Collaborative Filtering based on Content Feature Relationship
• Exploring Software Reusability Metrics with Q&A Forum Data
• P-SIF: Document Embeddings Using Partition Averaging
• Analysis of Big Data Technology for Health Care Services
• Devising Malware Characterstics using Transformers
• Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation
• BULNER: BUg Localization with word embeddings and NEtwork Regularization
• LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm
• TEAGS: Time-aware Text Embedding Approach to Generate Subgraphs
• Learning to map between ferns with differentiable binary embedding networks
• Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge
• "To Target or Not to Target": Identification and Analysis of Abusive Text Using Ensemble of Classifiers
• Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization
• Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
• Towards Optimisation of Collaborative Question Answering over Knowledge Graphs
• Road Network Metric Learning for Estimated Time of Arrival
• Online publication of court records: circumventing the privacy-transparency trade-off
• Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents
• Words as Art Materials: Generating Paintings with Sequential GANs
• Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
• Learning Joint Acoustic-Phonetic Word Embeddings
• Neural disambiguation of lemma and part of speech in morphologically rich languages
• A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers
• Zero-Shot Recognition through Image-Guided Semantic Classification
• Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations
• Parameterized Neural Network Language Models for Information Retrieval
• Text Classification based on Multi-granularity Attention Hybrid Neural Network
• WOR and $p$'s: Sketches for ${\ell }_p$-Sampling Without Replacement
• DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction
• Task-Guided Pair Embedding in Heterogeneous Network
• Sensitive Information Detection: Recursive Neural Networks for Encoding Context
• Knowledge Efficient Deep Learning for Natural Language Processing
• An Intelligent CNN-VAE Text Representation Technology Based on Text Semantics for Comprehensive Big Data
• Deep Learning in Science
• Bio-inspired Structure Identification in Language Embeddings
• Evaluating Interactive Summarization: an Expansion-Based Framework
• Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System
• Feature Distillation With Guided Adversarial Contrastive Learning
• Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
• A Compare Aggregate Transformer for Understanding Document-grounded Dialogue
• Overcoming Data Sparsity in Group Recommendation
• Attention Guided Semantic Relationship Parsing for Visual Question Answering
• Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
• Inpatient2Vec: Medical Representation Learning for Inpatients
• GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
• Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English
• Latent-Variable Generative Models for Data-Efficient Text Classification
• Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings
• Spatial-Temporal-Textual Point Processes for Crime Linkage Detection
• Learning Robust Representations with Graph Denoising Policy Network
• A Categorical Compositional Distributional Modelling for the Language of Life
• Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention
• Generating Realistic Sequences of Customer-level Transactions for Retail Datasets
• Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning
• Learning Representations of Social Media Users
• Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships
• InverSynth: Deep Estimation of Synthesizer Parameter Configurations from Audio Signals
• Transductive Multi-class and Multi-label Zero-shot Learning
• Transfer Learning in Visual and Relational Reasoning
• CROWN: Conversational Passage Ranking by Reasoning over Word Networks
• Beyond Social Fragmentation: Coexistence of Cultural Diversity and Structural Connectivity Is Possible with Social Constituent Diversity
• Attending to Entities for Better Text Understanding
• Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
• A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
• Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits
• Responsible team players wanted: an analysis of soft skill requirements in job advertisements
• A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models
• Weakly-Supervised Opinion Summarization by Leveraging External Information
• Semantic Sentence Embeddings for Paraphrasing and Text Summarization
• Image Reassembly Combining Deep Learning and Shortest Path Problem
• Segmentation-free Compositional $n$-gram Embedding
• Duet at TREC 2019 Deep Learning Track
• Sedano: A News Stream Processor for Business
• Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction
• Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations
• Neural Article Pair Modeling for Wikipedia Sub-article Matching
• Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding
• Learning Representations for Soft Skill Matching
• CNNTOP: a CNN-based Trajectory Owner Prediction Method
• PMI Matrix Approximations with Applications to Neural Language Modeling
• Dialogue Session Segmentation by Embedding-Enhanced TextTiling
• Multiplex Word Embeddings for Selectional Preference Acquisition
• A Study of the Tasks and Models in Machine Reading Comprehension
• An unsupervised and customizable misspelling generator for mining noisy health-related text sources
• CRL: Class Representative Learning for Image Classification
• Advances in Collaborative Filtering and Ranking
• struc2gauss: Structural Role Preserving Network Embedding via Gaussian Embedding
• Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model
• RECS: Robust Graph Embedding Using Connection Subgraphs
• "When and Where?": Behavior Dominant Location Forecasting with Micro-blog Streams
• Recognizing and Presenting the Storytelling Video Structure with Deep Multimodal Networks
• Incorporating Word Embeddings into Open Directory Project based Large-scale Classification
• English Out-of-Vocabulary Lexical Evaluation Task
• Sentence transition matrix: An efficient approach that preserves sentence semantics
• AspeRa: Aspect-based Rating Prediction Model
• Universal Dependency Parsing from Scratch
• Connectionist Recommendation in the Wild: On the utility and scrutability of neural networks for personalized course guidance
• Medical Multimodal Classifiers Under Scarce Data Condition
• You Only Look & Listen Once: Towards Fast and Accurate Visual Grounding
• A Multilingual Encoding Method for Text Classification and Dialect Identification Using Convolutional Neural Network
• f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
• Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
• Describing Semantic Representations of Brain Activity Evoked by Visual Stimuli
• Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles
• Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
• Investigating Retrieval Method Selection with Axiomatic Features
• Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
• LATTE: Application Oriented Social Network Embedding
• Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata
• Causal Regularization
• N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network
• Personalized Recommender System for Children's Book Recommendation with A Realtime Interactive Robot
• RelEmb: A relevance-based application embedding for Mobile App retrieval and categorization
• ProductNet: a Collection of High-Quality Datasets for Product Representation Learning
• Multi-Label Zero-Shot Human Action Recognition via Joint Latent Ranking Embedding
• Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings
• A Multi-task Learning Approach for Named Entity Recognition using Local Detection
• Listening between the Lines: Learning Personal Attributes from Conversations
• Language Transfer of Audio Word2Vec: Learning Audio Segment Representations without Target Language Data
• A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data
• Enabling Open-World Specification Mining via Unsupervised Learning
• A Content-Based Approach to Email Triage Action Prediction: Exploration and Evaluation
• Latent Unexpected and Useful Recommendation
• Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings
• Extract with Order for Coherent Multi-Document Summarization
• TAPESTRY: A Blockchain based Service for Trusted Interaction Online
• Incorporating Sememes into Chinese Definition Modeling
• Spectral Metric for Dataset Complexity Assessment
• A Latent Variable Model Approach to PMI-based Word Embeddings
• Mixing syntagmatic and paradigmatic information for concept detection
• On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Models
• Distributed deep learning on edge-devices: feasibility via adaptive compression
• Adaptive Region Embedding for Text Classification
• Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission
• Recognising Agreement and Disagreement between Stances with Reason Comparing Networks
• A Strong and Robust Baseline for Text-Image Matching
• Progressive Cluster Purification for Transductive Few-shot Learning
• Representation Learning for Words and Entities
• Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines
• KaWAT: A Word Analogy Task Dataset for Indonesian
• Debiasing Word Embeddings Improves Multimodal Machine Translation
• The Resale Price Prediction of Secondhand Jewelry Items Using a Multi-modal Deep Model with Iterative Co-Attention
• Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings
• Towards Automatic Generation of Short Summaries of Commits
• Syntactic and semantic classification of verb arguments using dependency-based and rich semantic features
• NeuType: A Simple and Effective Neural Network Approach for Predicting Missing Entity Type Information in Knowledge Bases
• Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding
• Machine Learning for Protein Function
• Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View
• GIPA: A General Information Propagation Algorithm for Graph Learning
• Deep Repulsive Prototypes for Adversarial Robustness
• Improving the quality of Persian clinical text with a novel spelling correction system
• A Geometric Perspective for High-Dimensional Multiplex Graphs
• LECTOR: Summarizing E-book Reading Content for Personalized Student Support
• Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
• Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations
• MergeDistill: Merging Pre-trained Language Models using Distillation
• Scientific Dataset Discovery via Topic-level Recommendation
• Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models
• A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems
• A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art
• Cognitive system to achieve human-level accuracy in automated assignment of helpdesk email tickets
• Network Analysis for Explanation
• An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures
• Semantic Network Model for Sign Language Comprehension
• ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering
• Event-Driven Query Expansion
• Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure
• JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
• Autoregressive Reasoning over Chains of Facts with Transformers
• A Survey on Green Deep Learning
• Pre-Training Transformers as Energy-Based Cloze Models
• Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph
• Relevance Score of Triplets Using Knowledge Graph Embedding - The Pigweed Triple Scorer at WSDM Cup 2017
• Towards Measuring Place Function Similarity at Fine Spatial Granularity with Trajectory Embedding
• TF-CR: Weighting Embeddings for Text Classification
• Augmented Understanding and Automated Adaptation of Curation Rules
• Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data
• CupQ: A New Clinical Literature Search Engine
• Scalable Methods for Calculating Term Co-Occurrence Frequencies
• A novel approach to sentiment analysis in Persian using discourse and external semantic information
• Morphological Skip-Gram: Using morphological knowledge to improve word representation
• The Tribes of Machine Learning and the Realm of Computer Architecture
• Word Embeddings: Stability and Semantic Change
• METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
• Deep Learning based, end-to-end metaphor detection in Greek language with Recurrent and Convolutional Neural Networks
• Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records
• Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing
• Toxicity Detection can be Sensitive to the Conversational Context
• Data-Efficient Methods for Dialogue Systems
• Complex Skill Acquisition Through Simple Skill Imitation Learning
• Applying GPGPU to Recurrent Neural Network Language Model based Fast Network Search in the Real-Time LVCSR
• Discovering Traveling Companions using Autoencoders
• Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
• TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding
• Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning
• Emotion Correlation Mining Through Deep Learning Models on Natural Language Text
• Measuring prominence of scientific work in online news as a proxy for impact
• About contrastive unsupervised representation learning for classification and its convergence
• Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence
• Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets
• Deep Learning based Topic Analysis on Financial Emerging Event Tweets
• Blind signal decomposition of various word embeddings based on join and individual variance explained
• Orientation-Preserving Vectorized Distance Between Curves
• Unsupervised Word Translation Pairing using Refinement based Point Set Registration
• Video SemNet: Memory-Augmented Video Semantic Network
• Relation Extraction with Contextualized Relation Embedding (CRE)
• GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers
• Context awareness and embedding for biomedical event extraction
• Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs
• A Self-Supervised Framework for Function Learning and Extrapolation
• Master Thesis: Neural Sign Language Translation by Learning Tokenization
• A data-driven strategy to combine word embeddings in information retrieval
• Visually Aware Skip-Gram for Image Based Recommendations
• Itinerary-aware Personalized Deep Matching at Fliggy
• Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing
• Optimizing Offer Sets in Sub-Linear Time
• Improving Calibration in Deep Metric Learning With Cross-Example Softmax
• Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models
• An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis
• Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
• Transductive Zero-Shot Learning using Cross-Modal CycleGAN
• Learning language variations in news corpora through differential embeddings
• Decoupled Variational Embedding for Signed Directed Networks
• Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks
• Modeling Text with Decision Forests using Categorical-Set Splits
• Inscriptis -- A Python-based HTML to text conversion library optimized for knowledge extraction from the Web
• Toward Edge-Centric Network Embeddings
• Beyond Observed Connections : Link Injection
• Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings
• Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
• Doctor of Crosswise: Reducing Over-parametrization in Neural Networks
• Chapter Captor: Text Segmentation in Novels
• Learning Universal Representations from Word to Sentence
• That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings
• What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue
• Cascaded Models for Better Fine-Grained Named Entity Recognition
• Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services
• DPRK-BERT: The Supreme Language Model
• Layer-stacked Attention for Heterogeneous Network Embedding
• Adversarial Context Aware Network Embeddings for Textual Networks
• DEAP Cache: Deep Eviction Admission and Prefetching for Cache
• Learning Structures for Deep Neural Networks
• Semantic Softmax Loss for Zero-Shot Learning
• Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
• Inferring the Importance of Product Appearance: A Step Towards the Screenless Revolution
• On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions
• Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering
• A Deep Hybrid Model for Recommendation Systems
• Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction
• BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
• Zero-Shot Audio Classification Based on Class Label Embeddings
• Dual Attention Model for Citation Recommendation
• DNN-Based Semantic Model for Rescoring N-best Speech Recognition List
• EEMC: Embedding Enhanced Multi-tag Classification
• How to define co-occurrence in different domains of study?
• SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
• Chess2vec: Learning Vector Representations for Chess
• The Cross-Lingual Arabic Information REtrieval (CLAIRE) System
• Recommending research articles to consumers of online vaccination information
• From web crawled text to project descriptions: automatic summarizing of social innovation projects
• Misspelling Oblivious Word Embeddings
• An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
• DocuBot : Generating financial reports using natural language interactions
• UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages
• What Remains of Visual Semantic Embeddings
• Semantic coordinates analysis reveals language changes in the AI field
• The Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random Walks
• Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics
• Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports
• Embedding Dynamic Attributed Networks by Modeling the Evolution Processes
• DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity
• Differentiable Representations For Multihop Inference Rules
• RefBERT: Compressing BERT by Referencing to Pre-computed Representations
• Predicting User Engagement Status for Online Evaluation of Intelligent Assistants
• Compositional Network Embedding
• PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space
• Cross-modal Zero-shot Hashing by Label Attributes Embedding
• What relations are reliably embeddable in Euclidean space?
• Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights
• Spread-gram: A spreading-activation schema of network structural learning
• Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation
• Convex Covariate Clustering for Classification
• A Dynamic Strategy Coach for Effective Negotiation
• Feature extraction and evaluation for BioMedical Question Answering
• Spring-Electrical Models For Link Prediction
• Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression
• Similarity Driven Approximation for Text Analytics
• Exploring Temporal Information for Improved Video Understanding
• BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions
• Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks
• Semi-supervised Learning with Contrastive Predicative Coding
• Correlations between Word Vector Sets
• Interpretable Structure-aware Document Encoders with Hierarchical Attention
• Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality
• Do We Need Neural Models to Explain Human Judgments of Acceptability?
• Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution
• Contextual Unsupervised Outlier Detection in Sequences
• Monitoring geometrical properties of word embeddings for detecting the emergence of new topics
• Harry Potter and the Action Prediction Challenge from Natural Language
• Mapping Supervised Bilingual Word Embeddings from English to low-resource languages
• Tutorial on NLP-Inspired Network Embedding
• Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research
• A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings
• Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling
• SocialVec: Social Entity Embeddings
• Optimal Approximation -- Smoothness Tradeoffs for Soft-Max Functions
• Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
• Language Models as Zero-shot Visual Semantic Learners
• Community detection using low-dimensional network embedding algorithms
• Quantification and Analysis of Scientific Language Variation Across Research Fields
• Neural Combinatory Constituency Parsing
• PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
• Contextualisation of eCommerce Users
• Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias
• Deep Learning Meets Projective Clustering
• Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration
• Leader: Prefixing a Length for Faster Word Vector Serialization
• Deep Artificial Intelligence for Fantasy Football Language Understanding
• Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings
• EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective
• An Augmented Transformer Architecture for Natural Language Generation Tasks
• FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching
• Graph Convolutional Network with Generalized Factorized Bilinear Aggregation
• Great New Design: How Do We Talk about Media Architecture in Social Media
• Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
• Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
• Explaining Documents' Relevance to Search Queries
• Learning Clusterable Visual Features for Zero-Shot Recognition
• A Relaxed Matching Procedure for Unsupervised BLI
• Hierarchical Text Interaction for Rating Prediction
• Customized Graph Embedding: Tailoring Embedding Vectors to different Applications
• An Explanatory Query-Based Framework for Exploring Academic Expertise
• A Study of Metrics of Distance and Correlation Between Ranked Lists for Compositionality Detection
• SAFE: Self-Attentive Function Embeddings for Binary Similarity
• TDRE: A Tensor Decomposition Based Approach for Relation Extraction
• Quantifying Similarity between Relations with Fact Distribution
• Inferring symmetry in natural language
• A Unified Model for Recommendation with Selective Neighborhood Modeling
• Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning
• Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
• Diversity by Phonetics and its Application in Neural Machine Translation
• Image Captioning with Visual Object Representations Grounded in the Textual Modality
• Utilizing Complex-valued Network for Learning to Compare Image Patches
• Improved Latent Tree Induction with Distant Supervision via Span Constraints
• PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding
• Do place cells dream of conditional probabilities? Learning Neural Nyström representations
• From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation
• Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures
• Towards Fully Bilingual Deep Language Modeling
• Cross-Batch Negative Sampling for Training Two-Tower Recommenders
• Co-embedding of Nodes and Edges with Graph Neural Networks
• Diachronic Text Mining Investigation of Therapeutic Candidates for COVID-19
• How to Evaluate Word Representations of Informal Domain?
• Constructing Graph Node Embeddings via Discrimination of Similarity Distributions
• Semi-Supervised Methods for Out-of-Domain Dependency Parsing
• Towards Explainable Fact Checking
• A crossover code for high-dimensional composition
• Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations
• Ranking Entity Based on Both of Word Frequency and Word Sematic Features
• Parameter-free Sentence Embedding via Orthogonal Basis
• TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation
• A Unified Seeding Framework
• Entity Extraction with Knowledge from Web Scale Corpora
• Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification
• Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
• Neural Cross-Domain Collaborative Filtering with Shared Entities
• Spaceland Embedding of Sparse Stochastic Graphs
• A Framework for Learning Assessment through Multimodal Analysis of Reading Behaviour and Language Comprehension
• An End-to-End Framework for Cold Question Routing in Community Question Answering Services
• Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction
• Multi-Stage Network Embedding for Exploring Heterogeneous Edges
• Feature Learning for Meta-Paths in Knowledge Graphs
• Predictive Process Model Monitoring using Recurrent Neural Networks
• SimpleBooks: Long-term dependency book dataset with simplified English vocabulary for word-level language modeling
• Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus
• Learning Sentimental Influences from Users' Behaviors
• Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks
• Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding
• CoRGi: Content-Rich Graph Neural Networks with Attention
• MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
• Multi-Relation Aware Temporal Interaction Network Embedding
• Pairwise Neural Machine Translation Evaluation
• Zero-Shot Instance Segmentation
• Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
• Short-Term Meaning Shift: A Distributional Exploration
• Document Network Embedding: Coping for Missing Content and Missing Links
• Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees
• Heterogeneous Graph Neural Network with Multi-view Representation Learning
• Mutual Information Constraints for Monte-Carlo Objectives
• Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings
• MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
• Focused Contrastive Training for Test-based Constituency Analysis
• External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery
• Embedding time expressions for deep temporal ordering models
• Supervised Tree-Wasserstein Distance
• Optimized Tracking of Topic Evolution
• Active Learning for Argument Mining: A Practical Approach
• Practical User Feedback-driven Internal Search Using Online Learning to Rank
• Lightweight representation learning for efficient and scalable recommendation
• Learning Word Embeddings with Domain Awareness
• Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization
• Learning Discriminative Hashing Codes for Cross-Modal Retrieval based on Multi-view Features
• Learning to Represent Bilingual Dictionaries
• BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models
• Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection
• Shareable Representations for Search Query Understanding
• Character 3-gram Mover's Distance: An Effective Method for Detecting Near-duplicate Japanese-language Recipes
• R-grams: Unsupervised Learning of Semantic Units in Natural Language
• Primal Meaning Recommendation via On-line Encyclopedia
• Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
• An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces
• Description-based Label Attention Classifier for Explainable ICD-9 Classification
• CASE: Context-Aware Semantic Expansion
• Next Stop "NoOps": Enabling Cross-System Diagnostics Through Graph-based Composition of Logs and Metrics
• Large-scale Gender/Age Prediction of Tumblr Users
• Two Training Strategies for Improving Relation Extraction over Universal Graph
• Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations
• Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments
• Low-dimensional Query Projection based on Divergence Minimization Feedback Model for Ad-hoc Retrieval
• Making Sense of Hidden Layer Information in Deep Networks by Learning Hierarchical Targets
• Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender
• Modeling Musical Structure with Artificial Neural Networks
• Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
• A Sequence-to-Sequence Model for Semantic Role Labeling
• Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis
• Enhancing Clinical Information Extraction with Transferred Contextual Embeddings
• Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model
• cube2net: Efficient Query-Specific Network Construction with Data Cube Organization
• Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo
• Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings
• Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval
• Leveraging Schema Labels to Enhance Dataset Search
• Grammatical Profiling for Semantic Change Detection
• Towards Explainable Scientific Venue Recommendations
• Task-adaptive Pre-training of Language Models with Word Embedding Regularization
• Distilling Linguistic Context for Language Model Compression
• Fast Generating A Large Number of Gumbel-Max Variables
• MATCH: Metadata-Aware Text Classification in A Large Hierarchy
• Measuring Semantic Coherence of a Conversation
• Impressions2Font: Generating Fonts by Specifying Impressions
• Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training
• Robust Retrieval Augmented Generation for Zero-shot Slot Filling
• Learning Based Proximity Matrix Factorization for Node Embedding
• Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion
• Automating App Review Response Generation
• You Get What You Chat: Using Conversations to Personalize Search-based Recommendations
• End-to-End NLP Knowledge Graph Construction
• Learning to Generate Multiple Style Transfer Outputs for an Input Sentence
• We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
• Generic resources are what you need: Style transfer tasks without task-specific parallel training data
• A Recurrent Neural Network Based Patch Recommender for Linux Kernel Bugs
• Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems
• Semantic Relatedness for Keyword Disambiguation: Exploiting Different Embeddings
• Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue
• Discrete Cosine Transform as Universal Sentence Encoder
• All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality
• Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text
• 'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks
• JEFL: Joint Embedding of Formal Proof Libraries
• AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models
• Efficient Sentence Embedding via Semantic Subspace Analysis
• Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings
• Using Detailed Access Trajectories for Learning Behavior Analysis
• Semantic Graph for Zero-Shot Learning
• From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
• Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed
• Estimating Rationally Inattentive Utility Functions with Deep Clustering for Framing - Applications in YouTube Engagement Dynamics
• Deep Speech Denoising with Vector Space Projections
• Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
• Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph
• Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation
• Learning Topics using Semantic Locality
• Evaluating Word Embedding Hyper-Parameters for Similarity and Analogy Tasks
• Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
• Semantic Driven Fielded Entity Retrieval
• Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning
• On Sampling-Based Training Criteria for Neural Language Modeling
• It's Only Words And Words Are All I Have
• NE-Table: A Neural key-value table for Named Entities
• DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation
• FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems
• A Study on Passage Re-ranking in Embedding based Unsupervised Semantic Search
• mQAPViz: A divide-and-conquer multi-objective optimization algorithm to compute large data visualizations
• Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training
• In-depth Question classification using Convolutional Neural Networks
• Enhancing Interpretable Clauses Semantically using Pretrained Word Representation
• Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
• Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution
• Securing Tag-based recommender systems against profile injection attacks: A comparative study. (Extended Report)
• Misleading Metadata Detection on YouTube
• A Quantum Field Theory of Representation Learning
• Exploring the context of recurrent neural network based conversational agents
• "Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models
• Opening up Open-World Tracking
• Unsupervised Clinical Language Translation
• Neural-Network Guided Expression Transformation
• Word embeddings for idiolect identification
• Integrating Regular Expressions with Neural Networks via DFA
• Re-entry Prediction for Online Conversations via Self-Supervised Learning
• Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification
• A Systematic Investigation of KB-Text Embedding Alignment at Scale
• Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
• MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator
• Collaborative Similarity Embedding for Recommender Systems
• Sexism in the Judiciary
• Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation
• Deep recommender engine based on efficient product embeddings neural pipeline
• An Ensemble Method for Producing Word Representations focusing on the Greek Language
• Incrementally Zero-Shot Detection by an Extreme Value Analyzer
• Hyperbolic Multiplex Network Embedding with Maps of Random Walk
• Let's Transfer Transformations of Shared Semantic Representations
• Autoencoding Undirected Molecular Graphs With Neural Networks
• Towards Using Diachronic Distributed Word Representations as Models of Lexical Development
• Leveraging Distributional Semantics for Multi-Label Learning
• Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
• SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus
• Detecting Anomalies Through Contrast in Heterogeneous Data
• Deep graph embedding for prioritizing synergistic anticancer drug combinations
• A Weighted Multi-Criteria Decision Making Approach for Image Captioning
• Compositional Approaches for Representing Relations Between Words: A Comparative Study
• Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
• Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile
• Locating Faulty Methods with a Mixed RNN and Attention Model
• Deep Personalized Re-targeting
• Geosocial Location Classification: Associating Type to Places Based on Geotagged Social-Media Posts
• RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved
• MTLHealth: A Deep Learning System for Detecting Disturbing Content in Student Essays
• Scrambled Translation Problem: A Problem of Denoising UNMT
• Improving Authorship Verification using Linguistic Divergence
• DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
• Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters
• Extrapolating paths with graph neural networks
• BERT Embeddings Can Track Context in Conversational Search
• Are Classes Clusters?
• Variational Weakly Supervised Sentiment Analysis with Posterior Regularization
• Guilt by Association: Emotion Intensities in Lexical Representations
• Affect in Tweets Using Experts Model
• Revisiting Document Representations for Large-Scale Zero-Shot Learning
• Column2Vec: Structural Understanding via Distributed Representations of Database Schemas
• Exploring Multi-dimensional Data via Subset Embedding
• Math Operation Embeddings for Open-ended Solution Analysis and Feedback
• A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks
• Semantic-based End-to-End Learning for Typhoon Intensity Prediction
• Mercem: Method Name Recommendation Based on Call Graph Embedding
• Mining Program Properties From Neural Networks Trained on Source Code Embeddings
• Inducing Optimal Attribute Representations for Conditional GANs
• Deep Learning and Open Set Malware Classification: A Survey
• Quantum Inspired Word Representation and Computation
• A Topological Approach to Compare Document Semantics Based on a New Variant of Syntactic N-grams
• Learning Musical Relations using Gated Autoencoders
• On Dimensional Linguistic Properties of the Word Embedding Space
• Large-scale Real-time Personalized Similar Product Recommendations
• Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)
• Constrained Non-Affine Alignment of Embeddings
• Network Representation Learning: From Traditional Feature Learning to Deep Learning
• Towards Self-Explainable Graph Neural Network
• Effect of Text Color on Word Embeddings
• Zero-Shot Recognition via Optimal Transport
• Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction
• A Text-Embedding-based Approach to Measure Patent-to-Patent Technological Similarity -- Workflow, Code, and Applications
• Modeling Multi-Destination Trips with Sketch-Based Model
• A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients
• Document Similarity for Texts of Varying Lengths via Hidden Topics
• Lightweight Cross-Lingual Sentence Representation Learning
• Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings
• Contrastive Separative Coding for Self-supervised Representation Learning
• Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment
• Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification
• TEDL: A Text Encryption Method Based on Deep Learning
• Embedded-Graph Theory
• Automatic Table completion using Knowledge Base
• Explore BiLSTM-CRF-Based Models for Open Relation Extraction
• Large-scale Taxonomy Induction Using Entity and Word Embeddings
• A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
• Semantic Relatedness Based Re-ranker for Text Spotting
• Indirect Identification of Psychosocial Risks from Natural Language
• Semantic Holism and Word Representations in Artificial Neural Networks
• A System for Automated Open-Source Threat Intelligence Gathering and Management
• Performance of Recommender Systems: Based on Content Navigator and Collaborative Filtering
• Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
• Structure-Aware Feature Generation for Zero-Shot Learning
• Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings
• Grounding learning of modifier dynamics: An application to color naming
• UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning
• Addressing Class-Imbalance Problem in Personalized Ranking
• Theoretical Understandings of Product Embedding for E-commerce Machine Learning
• Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization
• Abelian Neural Networks
• Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network
• A Gated Self-attention Memory Network for Answer Selection
• Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation
• Visualizing Trends of Key Roles in News Articles
• Rationalizing Medical Relation Prediction from Corpus-level Statistics
• Near Neighbor Search via Efficient Average Distortion Embeddings
• Understanding Scanned Receipts
• The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations
• Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring
• Multi-task Learning for Chinese Word Usage Errors Detection
• Language Model Metrics and Procrustes Analysis for Improved Vector Transformation of NLP Embeddings
• A Joint Approach to Compound Splitting and Idiomatic Compound Detection
• Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning
• User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
• Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training
• Utilizing FastText for Venue Recommendation
• Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases
• A Simple Theoretical Model of Importance for Summarization
• Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding
• Natural Adversarial Sentence Generation with Gradient-based Perturbation
• Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space
• Towards Personalized and Human-in-the-Loop Document Summarization
• Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
• Regression Concept Vectors for Bidirectional Explanations in Histopathology
• Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots
• Power Law Graph Transformer for Machine Translation and Representation Learning
• Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion
• Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping
• A Novel Document Generation Process for Topic Detection based on Hierarchical Latent Tree Models
• Learning Large-scale Network Embedding from Representative Subgraph
• Revisiting Initialization of Neural Networks
• Open Named Entity Modeling from Embedding Distribution
• A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language
• Towards Teachable Conversational Agents
• BURT: BERT-inspired Universal Representation from Twin Structure
• Fund2Vec: Mutual Funds Similarity using Graph Learning
• Understanding and Enhancing the Use of Context for Machine Translation
• Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog
• Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents
• Maps Search Misspelling Detection Leveraging Domain-Augmented Contextual Representations
• SOAR: A Synthesis Approach for Data Science API Refactoring
• SentPWNet: A Unified Sentence Pair Weighting Network for Task-specific Sentence Embedding
• COLOGNE: Coordinated Local Graph Neighborhood Sampling
• Fast discovery of multidimensional subsequences for robust trajectory classification
• Locality Preserving Loss: Neighbors that Live together, Align together
• Learning to Organize Knowledge and Answer Questions with N-Gram Machines
• A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems
• Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction
• Using Social Media Background to Improve Cold-start Recommendation Deep Models
• Knowledge Graph Simple Question Answering for Unseen Domains
• Graph Classification Based on Skeleton and Component Features
• Analyzing the Surprising Variability in Word Embedding Stability Across Languages
• Single Training Dimension Selection for Word Embedding with PCA
• Learning from Multi-User Activity Trails for B2B Ad Targeting
• Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction
• Emotion Detection with Neural Personal Discrimination
• Word Equations: Inherently Interpretable Sparse Word Embeddingsthrough Sparse Coding
• Fast Graph Learning with Unique Optimal Solutions
• DimensionRank: Personal Neural Representations for Personalized General Search
• Knowledge Graph Completion with Text-aided Regularization
• Evaluation Discrepancy Discovery: A Sentence Compression Case-study
• Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing
• An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource
• Leveraging External Knowledge for Out-Of-Vocabulary Entity Labeling
• MyMigrationBot: A Cloud-based Facebook Social Chatbot for Migrant Populations
• DGEM: A New Dual-modal Graph Embedding Method in Recommendation System
• Recognising Biomedical Names: Challenges and Solutions
• Understanding in Artificial Intelligence
• Interpretable Entity Representations through Large-Scale Typing
• geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification
• People, Places, and Ties: Landscape of social places and their social network structures
• Educational Content Linking for Enhancing Learning Need Remediation in MOOCs
• TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
• Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
• Twitter Sentiment on Affordable Care Act using Score Embedding
• Cross-modal Zero-shot Hashing
• On Multilingual Training of Neural Dependency Parsers
• Deriving Disinformation Insights from Geolocalized Twitter Callouts
• How Sequence-to-Sequence Models Perceive Language Styles?
• Integrated Node Encoder for Labelled Textual Networks
• TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
• Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations
• A General Method for Event Detection on Social Media
• Speaker Sensitive Response Evaluation Model
• Iterative Edit-Based Unsupervised Sentence Simplification
• Delineating Knowledge Domains in the Scientific Literature Using Visual Information
• Predicting Relative Depth between Objects from Semantic Features
• Categorical Vector Space Semantics for Lambek Calculus with a Relevant Modality
• The Gaussian Transform
• Supervised Understanding of Word Embeddings
• Graph-of-Tweets: A Graph Merging Approach to Sub-event Identification
• Effective Context and Fragment Feature Usage for Named Entity Recognition
• Can a Fruit Fly Learn Word Embeddings?
• Background Knowledge Injection for Interpretable Sequence Classification
• Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification
• Modelling Compositionality and Structure Dependence in Natural Language
• A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer
• Boosting the Rating Prediction with Click Data and Textual Contents
• Accurate Word Representations with Universal Visual Guidance
• Hyperlink Regression via Bregman Divergence
• Adaptive Convolution for Semantic Role Labeling
• Density Matrices with Metric for Derivational Ambiguity
• TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces
• Contextualized Spoken Word Representations from Convolutional Autoencoders
• Detecting Medical Misinformation on Social Media Using Multimodal Deep Learning
• CA-EHN: Commonsense Analogy from E-HowNet
• Automatic Product Ontology Extraction from Textual Reviews
• DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings
• Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising
• Reflection-based Word Attribute Transfer
• Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings