Efficient Estimation of Word Representations in Vector Space

Abstract

We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previously best performing techniques based on different types of neural networks. We observe large improvements in accuracy at much lower computational cost, i.e. it takes less than a day to learn high quality word vectors from a 1.6 billion words data set. Furthermore, we show that these vectors provide state-of-the-art performance on our test set for measuring syntactic and semantic word similarities.

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• Neural graph embeddings as explicit low-rank matrix factorization for link prediction
• Data-driven Summarization of Scientific Articles
• Implementation Notes for the Soft Cosine Measure
• Probabilistic FastText for Multi-Sense Word Embeddings
• Neural Word Segmentation Learning for Chinese
• From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach
• Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie
• Short text classification with machine learning in the social sciences: The case of climate change on Twitter
• Multimodal Model with Text and Drug Embeddings for Adverse Drug Reaction Classification
• From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction
• Self-Supervised VQ-VAE for One-Shot Music Style Transfer
• Institutional Collaboration Recommendation: An expertise-based framework using NLP and Network Analysis
• Lexically-Accelerated Dense Retrieval
• Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
• A Customized Text Sanitization Mechanism with Differential Privacy
• Learning to Extract Coherent Summary via Deep Reinforcement Learning
• Task-Oriented Query Reformulation with Reinforcement Learning
• A Survey on Contextualised Semantic Shift Detection
• Capitalization and Punctuation Restoration: a Survey
• Revisiting Visual Question Answering Baselines
• Predicting purchasing intent: Automatic Feature Learning using Recurrent Neural Networks
• Modeling Order in Neural Word Embeddings at Scale
• Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
• Large-Scale Representation Learning on Graphs via Bootstrapping
• Learning to Answer Questions From Image Using Convolutional Neural Network
• Improving Entity Linking by Modeling Latent Relations between Mentions
• A Study of the Generalizability of Self-Supervised Representations
• Contextualize, Show and Tell: A Neural Visual Storyteller
• Generating Comprehensive Lithium Battery Charging Data with Generative AI
• Transductive Unbiased Embedding for Zero-Shot Learning
• Discrete and continuous representations and processing in deep learning: Looking forward
• Gender Bias in BERT -- Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
• Context-aware Path Ranking for Knowledge Base Completion
• Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
• How Large Language Models are Transforming Machine-Paraphrased Plagiarism
• Transfer Learning for Speech and Language Processing
• Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases
• NAIL: A General Interactive Fiction Agent
• Comparative Analysis of Word Embeddings for Capturing Word Similarities
• Instance-Dependent PU Learning by Bayesian Optimal Relabeling
• Content and Context Features for Scene Image Representation
• Deep Feature Learning for Graphs
• Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencoder
• From Paraphrase Database to Compositional Paraphrase Model and Back
• Non-autoregressive Transformer-based End-to-end ASR using BERT
• A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks
• CLPVG: Circular limited penetrable visibility graph as a new network model for time series
• Category-Aware Location Embedding for Point-of-Interest Recommendation
• Learning Semantic Representations for the Phrase Translation Model
• CoLES: Contrastive Learning for Event Sequences with Self-Supervision
• WikiBERT models: deep transfer learning for many languages
• Towards a Robust Deep Neural Network in Texts: A Survey
• Socially Enhanced Situation Awareness from Microblogs using Artificial Intelligence: A Survey
• Enhanced word embeddings using multi-semantic representation through lexical chains
• Text-based depression detection on sparse data
• Opportunities for Large Language Models and Discourse in Engineering Design
• Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking
• Network representation learning systematic review: ancestors and current development state
• Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks
• Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities
• Simulating Action Dynamics with Neural Process Networks
• An End-to-end Neural Natural Language Interface for Databases
• A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
• Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation
• Learning to Reuse Distractors to support Multiple Choice Question Generation in Education
• An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies
• Low-Resource Text Classification using Domain-Adversarial Learning
• Partially-Supervised Image Captioning
• Unified Abstract Syntax Tree Representation Learning for Cross-Language Program Classification
• Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
• RWR-GAE: Random Walk Regularization for Graph Auto Encoders
• The Dynamic Embedded Topic Model
• Strategies for Training Large Vocabulary Neural Language Models
• A Contrastive Variational Graph Auto-Encoder for Node Clustering
• Beheshti-NER: Persian Named Entity Recognition Using BERT
• AI Benchmark: Running Deep Neural Networks on Android Smartphones
• Machine Learning Methods Economists Should Know About
• Irreflexive and Hierarchical Relations as Translations
• OpenHowNet: An Open Sememe-based Lexical Knowledge Base
• Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?
• An Investigation of Biases in Web Search Engine Query Suggestions
• Semantic Source Code Models Using Identifier Embeddings
• On Clustering Categories of Categorical Predictors in Generalized Linear Models
• Towards Resilient Artificial Intelligence: Survey and Research Issues
• A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
• Learning Type-Aware Embeddings for Fashion Compatibility
• Improved Biomedical Word Embeddings in the Transformer Era
• Knowledge Graph-Enabled Text-Based Automatic Personality Prediction
• Skip-gram word embeddings in hyperbolic space
• PANE: scalable and effective attributed network embedding
• Learning and Transferring IDs Representation in E-commerce
• Word2Bits - Quantized Word Vectors
• Quantum Natural Language Processing
• Keyword Assisted Embedded Topic Model
• Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter
• Interactive Fiction Games: A Colossal Adventure
• BanditSum: Extractive Summarization as a Contextual Bandit
• Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
• Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities
• Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System
• Data Movement Is All You Need: A Case Study on Optimizing Transformers
• Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection
• Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
• CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations
• Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search
• A Semantics-Based Hybrid Approach on Binary Code Similarity Comparison
• Clustering is Efficient for Approximate Maximum Inner Product Search
• Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
• Offensive Language and Hate Speech Detection for Danish
• Research and Development Workstation Environment: the new class of Current Research Information Systems
• Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
• Fake News Detection as Natural Language Inference
• Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
• Parameter-Efficient Transfer Learning with Diff Pruning
• Link Prediction Adversarial Attack
• Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
• Enriched Music Representations with Multiple Cross-modal Contrastive Learning
• Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique
• HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics
• A Survey of Knowledge Enhanced Pre-trained Models
• Misogynistic Tweet Detection: Modelling CNN with Small Datasets
• Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression
• Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
• Quantum Mathematics in Artificial Intelligence
• Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models
• Neural Language Modeling by Jointly Learning Syntax and Lexicon
• Identifying Partisan Slant in News Articles and Twitter during Political Crises
• Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation
• Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays
• STWalk: Learning Trajectory Representations in Temporal Graphs
• Automated Question Answer medical model based on Deep Learning Technology
• On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms
• Recurrent Memory Networks for Language Modeling
• What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
• Reliable Neural Networks for Regression Uncertainty Estimation
• Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
• A Survey on Neural Machine Reading Comprehension
• Relational Thematic Clustering with Mutually Preferred Neighbors
• #MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment
• Modeling Protein Using Large-scale Pretrain Language Model
• Subword-augmented Embedding for Cloze Reading Comprehension
• Parallelizing Word2Vec in Shared and Distributed Memory
• High Quality ELMo Embeddings for Seven Less-Resourced Languages
• Data-driven Rank Breaking for Efficient Rank Aggregation
• Word and Phrase Translation with word2vec
• Text-to-Face Generation with StyleGAN2
• Building a Fine-Grained Entity Typing System Overnight for a New X (X = Language, Domain, Genre)
• Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering
• Unsupervised Ensemble Ranking of Terms in Electronic Health Record Notes Based on Their Importance to Patients
• User Identity Linkage in Social Media Using Linguistic and Social Interaction Features
• Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
• Contextual Word Representations: A Contextual Introduction
• Homograph Disambiguation Through Selective Diacritic Restoration
• Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents
• Fine-Grained Zero-Shot Learning with DNA as Side Information
• Self-Knowledge Distillation in Natural Language Processing
• Towards Principled Unsupervised Learning
• Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image Tagging
• MetaGrad: Multiple Learning Rates in Online Learning
• A Recurrent Neural Network Survival Model: Predicting Web User Return Time
• DeepHealth: Review and challenges of artificial intelligence in health informatics
• Author Clustering and Topic Estimation for Short Texts
• Extractive Summarization of EHR Discharge Notes
• Semantic Networks for Engineering Design: A Survey
• A Novel Bilingual Word Embedding Method for Lexical Translation Using Bilingual Sense Clique
• SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and its Evaluation
• Zero-shot Learning for Audio-based Music Classification and Tagging
• Feature Learning in Infinite-Width Neural Networks
• Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet
• KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts
• RMove: Recommending Move Method Refactoring Opportunities using Structural and Semantic Representations of Code
• Bidirectional Recursive Neural Networks for Token-Level Labeling with Structure
• Image Based Food Energy Estimation With Depth Domain Adaptation
• TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search
• DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM
• Implicit Dimension Identification in User-Generated Text with LSTM Networks
• Large language models and linguistic intentionality
• MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models
• De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models
• Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
• An Empirical Assessment of Global COVID-19 Contact Tracing Applications
• From Trailers to Storylines: An Efficient Way to Learn from Movies
• Realised Volatility Forecasting: Machine Learning via Financial Word Embedding
• TokenPose: Learning Keypoint Tokens for Human Pose Estimation
• Multinomial Adversarial Networks for Multi-Domain Text Classification
• Multiplex Communities and the Emergence of International Conflict
• Multi-Cue Zero-Shot Learning with Strong Supervision
• Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines
• Multichannel Variable-Size Convolution for Sentence Classification
• Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
• Multimodal Word Distributions
• Corporate Bankruptcy Prediction with Domain-Adapted BERT
• What can you do with a rock? Affordance extraction via word embeddings
• OpenTapioca: Lightweight Entity Linking for Wikidata
• Dynamic Parameter Allocation in Parameter Servers
• Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
• The Remarkable Role of Similarity in Redundancy-based Program Repair
• Using Similarity Measures to Select Pretraining Data for NER
• End-to-end Emotion-Cause Pair Extraction via Learning to Link
• Homogeneous Tokenizer Matters: Homogeneous Visual Tokenizer for Remote Sensing Image Understanding
• JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
• Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index
• Probabilistic Forecasting with Temporal Convolutional Neural Network
• Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!
• A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks
• Representation Learning for Electronic Health Records
• MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction
• Bilingual Embeddings with Random Walks over Multilingual Wordnets
• Social Bots for Online Public Health Interventions
• Regression Prior Networks
• Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models
• Comparison of State-of-the-Art Deep Learning APIs for Image Multi-Label Classification using Semantic Metrics
• Medical Synonym Extraction with Concept Space Models
• Question Answering through Transfer Learning from Large Fine-grained Supervision Data
• Toward Mention Detection Robustness with Recurrent Neural Networks
• Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
• Graph Convolutional Networks for Classification with a Structured Label Space
• Examining Autocompletion as a Basic Concept for Interaction with Generative AI
• Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning
• Investigating the Effects of Word Substitution Errors on Sentence Embeddings
• Word Mover's Embedding: From Word2Vec to Document Embedding
• Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs
• Detection of Fake Generated Scientific Abstracts
• Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis
• A Survey on Personality-Aware Recommendation Systems
• Data Sets: Word Embeddings Learned from Tweets and General Data
• An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs
• Language models and Automated Essay Scoring
• Learning to Interpret Satellite Images in Global Scale Using Wikipedia
• BreakingNews: Article Annotation by Image and Text Processing
• Continuous-Flow Graph Transportation Distances
• Beyond NDCG: behavioral testing of recommender systems with RecList
• Path-Based Function Embedding and its Application to Specification Mining
• Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism
• AutoML using Metadata Language Embeddings
• Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition
• Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training
• Automatic Assessment of Divergent Thinking in Chinese Language with TransDis: A Transformer-Based Language Model Approach
• A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks
• Semantic vector space models predict neural responses to complex visual stimuli
• MedAL: Deep Active Learning Sampling Method for Medical Image Analysis
• Survey and Perspective on Social Emotions in Robotics
• Medical code prediction with multi-view convolution and description-regularized label-dependent attention
• Revisiting Image-Language Networks for Open-ended Phrase Detection
• Logical Rule Induction and Theory Learning Using Neural Theorem Proving
• Learning to Represent Words in Context with Multilingual Supervision
• SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining
• Social Biases in NLP Models as Barriers for Persons with Disabilities
• Facebook Use of Sensitive Data for Advertising in Europe
• Fake News Early Detection: An Interdisciplinary Study
• Neural Net Models for Open-Domain Discourse Coherence
• COVID-19Base: A knowledgebase to explore biomedical entities related to COVID-19
• Avoiding Echo-Responses in a Retrieval-Based Conversation System
• Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing
• Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External Memory
• BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks
• MojiTalk: Generating Emotional Responses at Scale
• KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents
• Neural Network-Based Abstract Generation for Opinions and Arguments
• VirtualHome: Simulating Household Activities via Programs
• Unsupervised Point Cloud Pre-Training via Occlusion Completion
• Online Network Traffic Classification Based on External Attention and Convolution by IP Packet Header
• Multimodal Grounding for Language Processing
• Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond
• Exploring Benefits of Transfer Learning in Neural Machine Translation
• Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks
• CL4AC: A Contrastive Loss for Audio Captioning
• The citation disadvantage of clinical research
• Neural Machine Translation with Noisy Lexical Constraints
• Hyperbolic Node Embedding for Signed Networks
• Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances
• Leveraging Monolingual Data for Crosslingual Compositional Word Representations
• Deep Multi-Instance Transfer Learning
• Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
• Metaphoric Paraphrase Generation
• Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
• Learning a Deep Embedding Model for Zero-Shot Learning
• Implicitly Incorporating Morphological Information into Word Embedding
• A Survey of Text Representation Methods and Their Genealogy
• Multilingual Name Entity Recognition and Intent Classification Employing Deep Learning Architectures
• Learning to Segment Every Thing
• Non-Adversarial Unsupervised Word Translation
• Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval
• A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling
• KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences
• Text classification based on ensemble extreme learning machine
• Packet-Level Adversarial Network Traffic Crafting using Sequence Generative Adversarial Networks
• Zero-shot User Intent Detection via Capsule Neural Networks
• Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture
• Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering
• Completely Unsupervised Speech Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models
• Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
• On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
• DeepBugs: A Learning Approach to Name-based Bug Detection
• Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism
• RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
• Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
• MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education
• From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection
• HONE: Higher-Order Network Embeddings
• When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset
• Learning semantic sentence representations from visually grounded language without lexical knowledge
• Small-Text: Active Learning for Text Classification in Python
• Cross-Dataset Design Discussion Mining
• Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification
• Learning Cross-Domain Representation with Multi-Graph Neural Network
• Leveraging Class Hierarchies with Metric-Guided Prototype Learning
• Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation
• Video Source Characterization Using Encoding and Encapsulation Characteristics
• Automatic Judgment Prediction via Legal Reading Comprehension
• Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition
• Being Together in Place as a Catalyst for Scientific Advance
• CoSimLex: A Resource for Evaluating Graded Word Similarity in Context
• Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves
• When Word Embeddings Become Endangered
• Learning Intra-Batch Connections for Deep Metric Learning
• Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses
• MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
• SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation
• Multi-criteria recommendation systems to foster online grocery
• Extracting News Events from Microblogs
• EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses
• An Empirical Assessment of Security Risks of Global Android Banking Apps
• Inferring Complementary Products from Baskets and Browsing Sessions
• What Looks Good with my Sofa: Multimodal Search Engine for Interior Design
• KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
• Controlled Experiments for Word Embeddings
• A Variational Dirichlet Framework for Out-of-Distribution Detection
• A Motion Taxonomy for Manipulation Embedding
• Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
• An empirical study on large scale text classification with skip-gram embeddings
• Lifelong Domain Word Embedding via Meta-Learning
• Embedding generation for text classification of Brazilian Portuguese user reviews: from bag-of-words to transformers
• Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition
• Geographic ratemaking with spatial embeddings
• Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language
• MOLIERE: Automatic Biomedical Hypothesis Generation System
• Local Information Assisted Attention-free Decoder for Audio Captioning
• SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment
• Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions
• A Simple and Efficient Method To Generate Word Sense Representations
• Training Neural Machine Translation using Word Embedding-based Loss
• Component-Enhanced Chinese Character Embeddings
• Topic Modeling with Contextualized Word Representation Clusters
• FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks
• A Comprehensive Survey of Deep Learning for Image Captioning
• Gaussian Word Embedding with a Wasserstein Distance Loss
• Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals
• Learning To Rank Resources with GNN
• Efficient Graph Computation for Node2Vec
• Improving Recurrent Neural Networks For Sequence Labelling
• Visual Text Correction
• Exploring the Landscape of Natural Language Processing Research
• A Context-based Disambiguation Model for Sentiment Concepts Using a Bag-of-concepts Approach
• HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
• Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach
• Multilingual Neural Machine Translation with Language Clustering
• Quantum Text Encoding for Classification Tasks
• A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information
• DMDD: A Large-Scale Dataset for Dataset Mentions Detection
• Entity Linking Meets Deep Learning: Techniques and Solutions
• Part-of-Speech Relevance Weights for Learning Word Embeddings
• Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding
• Revisiting the Context Window for Cross-lingual Word Embeddings
• Redefining Context Windows for Word Embedding Models: An Experimental Study
• Measuring similarity in co-occurrence data using ego-networks
• On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections
• Incremental Skip-gram Model with Negative Sampling
• Quality of Word Embeddings on Sentiment Analysis Tasks
• Multi-labeled Relation Extraction with Attentive Capsule Network
• Improving Cross-Lingual Word Embeddings by Meeting in the Middle
• Semantic flow in language networks
• Lexical semantics enhanced neural word embeddings
• Robust Cross-lingual Embeddings from Parallel Sentences
• Autonomization of Monoidal Categories
• Improving a tf-idf weighted document vector embedding
• Investigating the Role of Negatives in Contrastive Representation Learning
• On the comparability of Pre-trained Language Models
• Recent Advances in Text Analysis
• Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce
• EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
• Multimodal Side-Tuning for Document Classification
• CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling
• Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
• Enabling Cognitive Intelligence Queries in Relational Databases using Low-dimensional Word Embeddings
• Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces
• Sufficient Representations for Categorical Variables
• How much does a word weigh? Weighting word embeddings for word sense induction
• Semi-supervised Clustering for Short Text via Deep Representation Learning
• Leveraging Subword Embeddings for Multinational Address Parsing
• Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation
• Speeding up Word Mover's Distance and its variants via properties of distances between embeddings
• Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use
• Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks
• Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval
• Sentiment Adaptive End-to-End Dialog Systems
• Learning from Comparisons and Choices
• NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis
• VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
• Top-down Tree Long Short-Term Memory Networks
• Zero-Shot Sketch-Image Hashing
• HARPS: An Online POMDP Framework for Human-Assisted Robotic Planning and Sensing
• Who is Addressed in this Comment? Automatically Classifying Meta-Comments in News Comments
• Multi-Label Product Categorization Using Multi-Modal Fusion Models
• Identifying emergency stages in Facebook posts of police departments with convolutional and recurrent neural networks and support vector machines
• From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation
• A Comprehensive Analysis of Static Word Embeddings for Turkish
• Adaptive Representations for Tracking Breaking News on Twitter
• Freshman or Fresher? Quantifying the Geographic Variation of Internet Language
• Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights
• Neural network-based preprocessing to estimate the parameters of the X-ray emission of a single-temperature thermal plasma
• Learning the Relation between Code Features and Code Transforms with Structured Prediction
• Sex Trafficking Detection with Ordinal Regression Neural Networks
• A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent
• Performing Highly Accurate Predictions Through Convolutional Networks for Actual Telecommunication Challenges
• Algorithmic labeling in hierarchical classifications of publications: Evaluation of bibliographic fields and term weighting approaches
• Lacking the embedding of a word? Look it up into a traditional dictionary
• Vision And Text Transformer For Predicting Answerability On Visual Question Answering
• Multi-scale Wasserstein Shortest-path Graph Kernels for Graph Classification
• Embedding Electronic Health Records for Clinical Information Retrieval
• DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks
• MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition
• Learning Action-Transferable Policy with Action Embedding
• The Document Vectors Using Cosine Similarity Revisited
• Learning audio representations via phase prediction
• Learning Visual Features from Large Weakly Supervised Data
• Semantic Variation in Online Communities of Practice
• Learning Sentence Representation with Guidance of Human Attention
• Deep Short Text Classification with Knowledge Powered Attention
• Multilingual Visual Sentiment Concept Matching
• Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
• Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features
• Multi-layer Representation Learning for Medical Concepts
• Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach
• A Hybrid Variational Autoencoder for Collaborative Filtering
• Unsupervised Label-aware Event Trigger and Argument Classification
• Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes
• vONTSS: vMF based semi-supervised neural topic modeling with optimal transport
• Deep Embedding for Spatial Role Labeling
• Predicting Different Types of Subtle Toxicity in Unhealthy Online Conversations
• Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code
• A Rank-Based Similarity Metric for Word Embeddings
• Detecting Social Media Manipulation in Low-Resource Languages
• Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation
• Autonomous Cross Domain Adaptation under Extreme Label Scarcity
• The Role of User Reviews in App Updates: A Preliminary Investigation on App Release Notes
• Improving Interpretability of Word Embeddings by Generating Definition and Usage
• EXSCLAIM! -- An automated pipeline for the construction of labeled materials imaging datasets from literature
• Improving Automated Patent Claim Parsing: Dataset, System, and Experiments
• Augmenting semantic lexicons using word embeddings and transfer learning
• Medical Concept Embedding with Time-Aware Attention
• Distance Based Source Domain Selection for Sentiment Classification
• FOBE and HOBE: First- and High-Order Bipartite Embeddings
• Tag-based Semantic Features for Scene Image Classification
• Author2Vec: A Framework for Generating User Embedding
• Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
• Mixtures of Deep Neural Experts for Automated Speech Scoring
• Learning Graph-Level Representations with Recurrent Neural Networks
• edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
• Wide Network Learning with Differential Privacy
• Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection
• Revisiting Skip-Gram Negative Sampling Model with Rectification
• Non-contrastive representation learning for intervals from well logs
• Heterogeneous Social Event Detection via Hyperbolic Graph Representations
• Zoo Guide to Network Embedding
• Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application
• LiResolver: License Incompatibility Resolution for Open Source Software
• MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover
• Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks
• A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval
• Footwear Size Recommendation System
• DeepTrax: Embedding Graphs of Financial Transactions
• Word Embedding Visualization Via Dictionary Learning
• Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy
• Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction
• Improving Information Extraction on Business Documents with Specific Pre-Training Tasks
• Biomedical named entity recognition using BERT in the machine reading comprehension framework
• To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment
• Machine Learning with World Knowledge: The Position and Survey
• DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context
• We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!
• Learning a Static Bug Finder from Data
• A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution
• Outlier Aware Network Embedding for Attributed Networks
• ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
• Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines
• Deep Learning-based Sentiment Analysis in Persian Language
• Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning
• Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile
• An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning
• Feedforward and Recurrent Neural Networks Backward Propagation and Hessian in Matrix Form
• Embedding Complexity In the Data Representation Instead of In the Model: A Case Study Using Heterogeneous Medical Data
• Diverse Beam Search for Increased Novelty in Abstractive Summarization
• Network Embedding via Deep Prediction Model
• Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval
• Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks
• Multimodal Machine Learning for Automated ICD Coding
• Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts
• Text as Environment: A Deep Reinforcement Learning Text Readability Assessment Model
• motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks
• Learning to Localize and Align Fine-Grained Actions to Sparse Instructions
• Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
• SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives
• Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond
• Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics
• A Roadmap to Domain Knowledge Integration in Machine Learning
• Active Mini-Batch Sampling using Repulsive Point Processes
• Learning Distributed Representations of Texts and Entities from Knowledge Base
• Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
• Modeling sequential data using higher-order relational features and predictive training
• Predicting Actions to Help Predict Translations
• baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling
• Private Graph Extraction via Feature Explanations
• Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
• Supporting Clustering with Contrastive Learning
• The Geometry of Information Cocoon: Analyzing the Cultural Space with Word Embedding Models
• SEED: Semantic Graph based Deep detection for type-4 clone
• A Visual Analytics Framework for Adversarial Text Generation
• Transferring Knowledge Distillation for Multilingual Social Event Detection
• Simplicial Complex Representation Learning
• FCA2VEC: Embedding Techniques for Formal Concept Analysis
• Vocabulary Manipulation for Neural Machine Translation
• Instance-aware Image and Sentence Matching with Selective Multimodal LSTM
• Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
• Text classification with word embedding regularization and soft similarity measure
• Question Answering on Linked Data: Challenges and Future Directions
• Document Neural Autoregressive Distribution Estimation
• Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information
• Gaussian Mixture Embeddings for Multiple Word Prototypes
• Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings
• Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data
• An Empirical Study on Post-processing Methods for Word Embeddings
• Norm-Based Curriculum Learning for Neural Machine Translation
• An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities
• Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts
• Deep Sequence Models for Text Classification Tasks
• DAWT: Densely Annotated Wikipedia Texts across multiple languages
• A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section
• Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural Network Language Models in ASR
• Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model
• Efficient Training on Very Large Corpora via Gramian Estimation
• Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model
• Provable Representation Learning for Imitation with Contrastive Fourier Features
• Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
• Learning Large-scale Location Embedding From Human Mobility Trajectories with Graphs
• Xu: An Automated Query Expansion and Optimization Tool
• Ranking Warnings of Static Analysis Tools Using Representation Learning
• Detecting cyber threats through social network analysis: short survey
• Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks
• Syntactic Scaffolds for Semantic Structures
• Dual Encoding for Zero-Example Video Retrieval
• Deep Representation for Patient Visits from Electronic Health Records
• A novel recommendation system to match college events and groups to students
• Radar Camera Fusion via Representation Learning in Autonomous Driving
• A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
• Scene Graph Parsing as Dependency Parsing
• Wasserstein Index Generation Model: Automatic Generation of Time-series Index with Application to Economic Policy Uncertainty
• Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners
• Learning to Interpret Satellite Images Using Wikipedia
• Word and Document Embeddings based on Neural Network Approaches
• Is there Gender bias and stereotype in Portuguese Word Embeddings?
• Quantifying the amount of visual information used by neural caption generators
• Pre-gen metrics: Predicting caption quality metrics without generating captions
• Understanding YouTube Communities via Subscription-based Channel Embeddings
• Generating Multiple Diverse Responses for Short-Text Conversation
• SPINE: Structural Identity Preserved Inductive Network Embedding
• Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literature
• Learning to Infer Unseen Single-/Multi-Attribute-Object Compositions with Graph Networks
• Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents
• Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion
• Evaluation of taxonomic and neural embedding methods for calculating semantic similarity
• Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification
• Multi-View representation learning in Multi-Task Scene
• Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services
• Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media
• The Natural Language of Actions
• A Survey of Neural Network Techniques for Feature Extraction from Text
• Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
• Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
• Generative Models For Deep Learning with Very Scarce Data
• Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline
• Dynamic Node Embeddings from Edge Streams
• The Inception Team at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
• KGClean: An Embedding Powered Knowledge Graph Cleaning Framework
• Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
• Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
• Semantic Regularities in Document Representations
• Towards Debiasing Sentence Representations
• Learning Multilingual Word Embeddings Using Image-Text Data
• Semantic Word Clusters Using Signed Normalized Graph Cuts
• Evaluation of Sentence Representations in Polish
• Domain adversarial learning for emotion recognition
• Deconstructing and reconstructing word embedding algorithms
• Long-Term Planning and Situational Awareness in OpenAI Five
• Context Aware Machine Learning
• BERT's output layer recognizes all hidden layers? Some Intriguing Phenomena and a simple way to boost BERT
• ER-AE: Differentially Private Text Generation for Authorship Anonymization
• Relaxed Softmax for learning from Positive and Unlabeled data
• Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
• Word2vec to behavior: morphology facilitates the grounding of language in machines
• State-of-the-art Chinese Word Segmentation with Bi-LSTMs
• Neural Methods for Point-wise Dependency Estimation
• Unsupervised Learning of Predictors from Unpaired Input-Output Samples
• Data Programming using Continuous and Quality-Guided Labeling Functions
• Zero-Shot Learning in Named-Entity Recognition with External Knowledge
• Multimodal Metric Learning for Tag-based Music Retrieval
• Tweeting AI: Perceptions of AI-Tweeters (AIT) vs Expert AI-Tweeters (EAIT)
• Efficacy of BERT embeddings on predicting disaster from Twitter data
• Cross-lingual Distillation for Text Classification
• When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting
• Large-Scale News Classification using BERT Language Model: Spark NLP Approach
• Word Embeddings for Entity-annotated Texts
• Unsupervised Phoneme and Word Discovery from Multiple Speakers using Double Articulation Analyzer and Neural Network with Parametric Bias
• Understanding the Downstream Instability of Word Embeddings
• Toward Incorporation of Relevant Documents in word2vec
• Disentangled Item Representation for Recommender Systems
• Detecting and analyzing missing citations to published scientific entities
• Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision
• Sentiment Analysis Using Averaged Weighted Word Vector Features
• Learning Concept Embeddings with Combined Human-Machine Expertise
• LEWIS: Latent Embeddings for Word Images and their Semantics
• Word, graph and manifold embedding from Markov processes
• Predicting Human Trustfulness from Facebook Language
• Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity
• Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings
• highway2vec -- representing OpenStreetMap microregions with respect to their road network characteristics
• dpUGC: Learn Differentially Private Representation for User Generated Contents
• One for All: Neural Joint Modeling of Entities and Events
• Prediction Using Note Text: Synthetic Feature Creation with word2vec
• A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation
• Shared-Private Bilingual Word Embeddings for Neural Machine Translation
• Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network
• Dynamic Network Embeddings for Network Evolution Analysis
• k-simplex2vec: a simplicial extension of node2vec
• Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning
• Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
• The Enemy Among Us: Detecting Hate Speech with Threats Based 'Othering' Language Embeddings
• Matching Article Pairs with Graphical Decomposition and Convolutions
• Identifying Reference Spans: Topic Modeling and Word Embeddings help IR
• Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data
• A Multimodal Approach towards Emotion Recognition of Music using Audio and Lyrical Content
• Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Similarity
• Reachability Embeddings: Scalable Self-Supervised Representation Learning from Mobility Trajectories for Multimodal Geospatial Computer Vision
• Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases
• Learning with Interpretable Structure from Gated RNN
• Automatic Generation of Chinese Short Product Titles for Mobile Display
• Representing Verbs as Argument Concepts
• Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
• Tag-less Back-Translation
• Dissecting Contextual Word Embeddings: Architecture and Representation
• Learning Index Selection with Structured Action Spaces
• SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning
• Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation
• Exact Recovery of Community Structures Using DeepWalk and Node2vec
• MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
• Coherence-Aware Neural Topic Modeling
• Hebbian Graph Embeddings
• The Dark Side of the Language: Pre-trained Transformers in the DarkNet
• Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents
• Word Embedding based New Corpus for Low-resourced Language: Sindhi
• Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification
• Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
• Unsupervised Euclidean Distance Attack on Network Embedding
• KGvec2go -- Knowledge Graph Embeddings as a Service
• Amharic Abstractive Text Summarization
• An Attention-Gated Convolutional Neural Network for Sentence Classification
• Semantic Hypergraphs
• On the Impact of Knowledge-based Linguistic Annotations in the Quality of Scientific Embeddings
• Hyperparameter-free and Explainable Whole Graph Embedding
• Approximating Instance-Dependent Noise via Instance-Confidence Embedding
• Multilingual Stance Detection: The Catalonia Independence Corpus
• "The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders
• Modeling Taxi Drivers' Behaviour for the Next Destination Prediction
• Ordering-sensitive and Semantic-aware Topic Modeling
• Consistent Alignment of Word Embedding Models
• Language Models with Pre-Trained (GloVe) Word Embeddings
• Theme-aware generation model for chinese lyrics
• A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media
• Network-based methods for disease-gene prediction
• Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood
• A Complex KBQA System using Multiple Reasoning Paths
• Adversarial Attack on Network Embeddings via Supervised Network Poisoning
• Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy
• Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
• A Survey On Neural Word Embeddings
• CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations
• Direction is what you need: Improving Word Embedding Compression in Large Language Models
• Real-Time Automated Answer Scoring
• Rapid detection of phase transitions from Monte Carlo samples before equilibrium
• Estimating related words computationally using language model from the Mahabharata -- an Indian epic
• Graph-based Village Level Poverty Identification
• Company2Vec -- German Company Embeddings based on Corporate Websites
• Non-autoregressive Personalized Bundle Generation
• Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-Task Learning
• Zur Darstellung eines mehrstufigen Prototypbegriffs in der multilingualen automatischen Sprachgenerierung: vom Korpus über word embeddings bis hin zum automatischen Wörterbuch
• Saturn Platform: Foundation Model Operations and Generative AI for Financial Services
• DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
• MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge
• Hedonic Prices and Quality Adjusted Price Indices Powered by AI
• FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models
• Word Embeddings for Automatic Equalization in Audio Mixing
• Predicting Influenza A Viral Host Using PSSM and Word Embeddings
• Semantic Code Search for Smart Contracts
• Emergent Graphical Conventions in a Visual Communication Game
• Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models
• Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering
• CogDL: A Comprehensive Library for Graph Deep Learning
• Term-community-based topic detection with variable resolution
• Arabic aspect based sentiment analysis using bidirectional GRU based models
• The Need for Standardized Explainability
• CUSATNLP@HASOC-Dravidian-CodeMix-FIRE2020:Identifying Offensive Language from ManglishTweets
• Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
• STRATA: Simple, Gradient-Free Attacks for Models of Code
• Neural Topic Model via Optimal Transport
• MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure
• Disentangling by Subspace Diffusion
• How Can BERT Help Lexical Semantics Tasks?
• Cross-Lingual Contextual Word Embeddings Mapping With Multi-Sense Words In Mind
• A Realistic Face-to-Face Conversation System based on Deep Neural Networks
• Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding
• Learning Functions over Sets via Permutation Adversarial Networks
• Design of conversational humanoid robot based on hardware independent gesture generation
• Evaluation of Greek Word Embeddings
• An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training
• Classifier and Exemplar Synthesis for Zero-Shot Learning
• Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data
• Local Homology of Word Embeddings
• Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings
• Extracting Fairness Policies from Legal Documents
• Virus genome sequence classification using features based on nucleotides, words and compression
• Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
• Judging a Book by its Description : Analyzing Gender Stereotypes in the Man Bookers Prize Winning Fiction
• Perturb and Combine to Identify Influential Spreaders in Real-World Networks
• Don't only Feel Read: Using Scene text to understand advertisements
• Polite Dialogue Generation Without Parallel Data
• Visual Attribute-augmented Three-dimensional Convolutional Neural Network for Enhanced Human Action Recognition
• Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together
• Billion-scale Network Embedding with Iterative Random Projection
• Semi-Supervised Learning on Graphs Based on Local Label Distributions
• Mining Fix Patterns for FindBugs Violations
• Grounding Language for Transfer in Deep Reinforcement Learning
• Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images
• Representing Sentences as Low-Rank Subspaces
• MUSE: Modularizing Unsupervised Sense Embeddings
• Heterogeneous information network model for equipment-standard system
• Straight to Shapes: Real-time Detection of Encoded Shapes
• A Joint Model for Word Embedding and Word Morphology
• Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning
• Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation
• Representing Meaning with a Combination of Logical and Distributional Models
• Neural network approach to classifying alarming student responses to online assessment
• Testing pre-trained Transformer models for Lithuanian news clustering
• Dutch Humor Detection by Generating Negative Examples
• A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs
• Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding
• Suspicious News Detection Using Micro Blog Text
• Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding
• CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling
• Evaluating the Complementarity of Taxonomic Relation Extraction Methods Across Different Languages
• Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics Comparison and Track-to-track Extension
• An Efficient Shared-memory Parallel Sinkhorn-Knopp Algorithm to Compute the Word Mover's Distance
• A Novel Distributed Representation of News (DRNews) for Stock Market Predictions
• Flexible Attributed Network Embedding
• Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
• SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
• Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding
• Adversarial Learning for Debiasing Knowledge Graph Embeddings
• Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence
• Distributed representation of multi-sense words: A loss-driven approach
• Towards a Better Understanding of Predict and Count Models
• ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task
• Next Waves in Veridical Network Embedding
• Sentiment Expression via Emoticons on Social Media
• Words are not Equal: Graded Weighting Model for building Composite Document Vectors
• Automatic Arabic Dialect Identification Systems for Written Texts: A Survey
• Recovering Structured Probability Matrices
• Document Similarity from Vector Space Densities
• Learning Conceptual-Contextual Embeddings for Medical Text
• Adversarial Privacy Preserving Graph Embedding against Inference Attack
• Topic Modeling Using Distributed Word Embeddings
• Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model
• Latent Tree Models for Hierarchical Topic Detection
• Learning Semantically and Additively Compositional Distributional Representations
• Zero-Shot Audio Classification via Semantic Embeddings
• Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU
• Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing
• A Unified Framework for Community Detection and Network Representation Learning
• Temporal Tessellation: A Unified Approach for Video Analysis
• Sequences, Items And Latent Links: Recommendation With Consumed Item Packs
• TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment
• A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
• Explainable Product Search with a Dynamic Relation Embedding Model
• Term Interrelations and Trends in Software Engineering
• Fast and Accurate Neural Word Segmentation for Chinese
• Sketching Word Vectors Through Hashing
• Skill2vec: Machine Learning Approach for Determining the Relevant Skills from Job Description
• Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings
• Towards Lexical Gender Inference: A Scalable Methodology using Online Databases
• WordRank: Learning Word Embeddings via Robust Ranking
• Semantic Similarity Measure of Natural Language Text through Machine Learning and a Keyword-Aware Cross-Encoder-Ranking Summarizer -- A Case Study Using UCGIS GIS&T Body of Knowledge
• Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring
• Preserving Local and Global Information for Network Embedding
• CrudeBERT: Applying Economic Theory towards fine-tuning Transformer-based Sentiment Analysis Models to the Crude Oil Market
• Early Requirements Traceability with Domain-Specific Taxonomies -- A Pilot Experiment
• EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding
• VacancySBERT: the approach for representation of titles and skills for semantic similarity search in the recruitment domain
• Cross-Attention Watermarking of Large Language Models
• LLM-based IR-system for Bank Supervisors
• Query2Vec: An Evaluation of NLP Techniques for Generalized Workload Analytics
• A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks
• FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines
• Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
• Equation Embeddings
• Learning to Assess Danger from Movies for Cooperative Escape Planning in Hazardous Environments
• Fast and Accurate Network Embeddings via Very Sparse Random Projection
• Probabilistic Modelling of Morphologically Rich Languages
• Teaching Temporal Logics to Neural Networks
• Universal Prototype Transport for Zero-Shot Action Recognition and Localization
• Using Contextual Information to Improve Blood Glucose Prediction
• Hierarchical Density Order Embeddings
• Predicting Legal Proceedings Status: Approaches Based on Sequential Text Data
• Emotion Embedding Spaces for Matching Music to Stories
• Extracting Parallel Paragraphs from Common Crawl
• ChID: A Large-scale Chinese IDiom Dataset for Cloze Test
• Crime Event Embedding with Unsupervised Feature Selection
• MLBiNet: A Cross-Sentence Collective Event Detection Network
• Learning Numeral Embeddings
• Incorporating Word Sense Disambiguation in Neural Language Models
• Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media
• TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces
• Automated labeling of bugs and tickets using attention-based mechanisms in recurrent neural networks
• Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme
• Citation Recommendations Considering Content and Structural Context Embedding
• Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning
• Parallel Computation of Graph Embeddings
• Learning Cross-lingual Embeddings from Twitter via Distant Supervision
• Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
• Jointly Learning Multiple Measures of Similarities from Triplet Comparisons
• Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
• EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection
• Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes
• Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis
• Topological Data Analysis in Text Classification: Extracting Features with Additive Information
• Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation
• Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval
• Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
• The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
• Symbolic Behaviour in Artificial Intelligence
• Leveraging AI to optimize website structure discovery during Penetration Testing
• Unsupervised cross-lingual matching of product classifications
• Symmetry and Group in Attribute-Object Compositions
• Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
• Sentiment Analysis of German Twitter
• Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness
• Intuitive Contrasting Map for Antonym Embeddings
• Latent User Linking for Collaborative Cross Domain Recommendation
• Language in Our Time: An Empirical Analysis of Hashtags
• Memory-Based Neighbourhood Embedding for Visual Recognition
• Raw-to-End Name Entity Recognition in Social Media
• Dual Adversarial Co-Learning for Multi-Domain Text Classification
• Multi-sense Definition Modeling using Word Sense Decompositions
• Attention Is All You Need for Chinese Word Segmentation
• A Deep Neural Information Fusion Architecture for Textual Network Embeddings
• Unsupervised Representation Learning by Predicting Random Distances
• A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification
• Meaning to Form: Measuring Systematicity as Information
• Learning distributed representations of graphs with Geo2DR
• Adaptive Offline Quintuplet Loss for Image-Text Matching
• Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow
• NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain
• A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage
• Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition
• Twitter Sentiment Analysis using Distributed Word and Sentence Representation
• Learning Hierarchical Review Graph Representations for Recommendation
• Cross-lingual Entity Alignment with Incidental Supervision
• Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
• Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer
• A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
• Combining Code Embedding with Static Analysis for Function-Call Completion
• Ultra high dimensional generalized additive model: Unified Theory and Methods
• Prior Networks for Detection of Adversarial Attacks
• Graph Embedding for Citation Recommendation
• An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure
• Attend More Times for Image Captioning
• Unsupervised Summarization by Jointly Extracting Sentences and Keywords
• Attention Fusion Networks: Combining Behavior and E-mail Content to Improve Customer Support
• Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes
• Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering
• Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer
• Multiple Word Embeddings for Increased Diversity of Representation
• Effective Subword Segmentation for Text Comprehension
• PoinT-5: Pointer Network and T-5 based Financial NarrativeSummarisation
• Examining the Ordering of Rhetorical Strategies in Persuasive Requests
• Word Embedding based Edit Distance
• Time-Aware and Corpus-Specific Entity Relatedness
• Ain't Nobody Got Time For Coding: Structure-Aware Program Synthesis From Natural Language
• An Information-Geometric Distance on the Space of Tasks
• Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis
• Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing
• The Atlas for the Aspiring Network Scientist
• BNLP: Natural language processing toolkit for Bengali language
• A Simple Post-Processing Technique for Improving Readability Assessment of Texts using Word Mover's Distance
• Evaluating the Utility of Hand-crafted Features in Sequence Labelling
• A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations
• Learning Fine-grained Fact-Article Correspondence in Legal Cases
• Learning from #Barcelona Instagram data what Locals and Tourists post about its Neighbourhoods
• BERT Meets Relational DB: Contextual Representations of Relational Databases
• Social Connection Induces Cultural Contraction: Evidence from Hyperbolic Embeddings of Social and Semantic Networks
• Quantitative Evaluation of Alternative Translations in a Corpus of Highly Dissimilar Finnish Paraphrases
• Latent Semantic Analysis Approach for Document Summarization Based on Word Embeddings
• Neural Random Projections for Language Modelling
• Evaluation of Unsupervised Compositional Representations
• Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment
• State-Denoised Recurrent Neural Networks
• RDF2Vec-based Classification of Ontology Alignment Changes
• Aff2Vec: Affect--Enriched Distributional Word Representations
• Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing
• Obj-GloVe: Scene-Based Contextual Object Embedding
• Towards an Unequivocal Representation of Actions
• Inducing and Embedding Senses with Scaled Gumbel Softmax
• Disambiguation of morpho-syntactic features of African American English -- the case of habitual be
• DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon
• Drivers of the decrease of patent similarities from 1976 to 2021
• Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search
• FakeSwarm: Improving Fake News Detection with Swarming Characteristics
• Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
• Deep Cross-media Knowledge Transfer
• Neural Aesthetic Image Reviewer
• Learning Image Conditioned Label Space for Multilabel Classification
• Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
• Exploring Large Language Models (LLMs) through interactive Python activities
• AutoMathKG: The automated mathematical knowledge graph based on LLM and vector database
• NLP and Education: using semantic similarity to evaluate filled gaps in a large-scale Cloze test in the classroom
• AI as a Tool for Fair Journalism: Case Studies from Malta
• An internet reviews topic hierarchy mining method based on modified continuous renormalization procedure
• Embedding Learning Through Multilingual Concept Induction
• Improving link prediction accuracy of network embedding algorithms via rich node attribute information
• Representation Learning for Classical Planning from Partially Observed Traces
• Towards Plausible Graph Anonymization
• Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders
• Dynamic Named Entity Recognition
• Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
• The boundaries of meaning: a case study in neural machine translation
• Semantic Interpolation in Implicit Models
• Searching for Discriminative Words in Multidimensional Continuous Feature Space
• DEBACER: a method for slicing moderated debates
• A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries
• Conversational Question Answering: A Survey
• Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation
• Engineering Knowledge Graph from Patent Database
• Data-driven Smart Ponzi Scheme Detection
• Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus
• Determining Song Similarity via Machine Learning Techniques and Tagging Information
• Japanese Sentiment Classification using a Tree-Structured Long Short-Term Memory with Attention
• Joint Multimedia Event Extraction from Video and Article
• Topic Identification for Speech without ASR
• ViP-CNN: Visual Phrase Guided Convolutional Neural Network
• Transfer Learning for Multi-lingual Tasks -- a Survey
• A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
• Named Entity Recognition for Social Media Texts with Semantic Augmentation
• Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations
• Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
• Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
• Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling
• Uncertainty in Neural Network Word Embedding: Exploration of Threshold for Similarity
• What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models
• Implementing a Reverse Dictionary, based on word definitions, using a Node-Graph Architecture
• Open-domain question classification and completion in conversational information search
• Evaluation of Morphological Embeddings for English and Russian Languages
• Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data
• Evaluation of Morphological Embeddings for the Russian Language
• Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics
• Feature extraction using Latent Dirichlet Allocation and Neural Networks: A case study on movie synopses
• Comparing Convolutional Neural Networks to Traditional Models for Slot Filling
• Linguists Who Use Probabilistic Models Love Them: Quantification in Functional Distributional Semantics
• Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification
• Exploiting Contextual Information with Deep Neural Networks
• Overcoming Statistical Shortcuts for Open-ended Visual Counting
• Analyze the Effects of Weighting Functions on Cost Function in the Glove Model
• Supervised Ontology and Instance Matching with MELT
• Write a Classifier: Predicting Visual Classifiers from Unstructured Text
• Abusive Language Detection and Characterization of Twitter Behavior
• Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
• Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form
• Language Segmentation
• Deep convolutional acoustic word embeddings using word-pair side information
• From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition
• Transfer learning from language models to image caption generators: Better models may not transfer better
• Hybrid Machine Learning Approach to Popularity Prediction of Newly Released Contents for Online Video Streaming Service
• CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
• Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records
• Multi Sense Embeddings from Topic Models
• Analyzing Customer Feedback for Product Fit Prediction
• Neural Attentive Bag-of-Entities Model for Text Classification
• Graph Embedding Based Hybrid Social Recommendation System
• TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
• Dual-path CNN with Max Gated block for Text-Based Person Re-identification
• Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations
• Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference
• EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance
• Multi-view Models for Political Ideology Detection of News Articles
• Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework
• Large Graph Exploration via Subgraph Discovery and Decomposition
• TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling
• Supporting stylists by recommending fashion style
• Exploiting Effective Representations for Chinese Sentiment Analysis Using a Multi-Channel Convolutional Neural Network
• Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition
• Effect of Post-processing on Contextualized Word Representations
• GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses
• Sentiment Analysis by Joint Learning of Word Embeddings and Classifier
• Weakly Supervised Deep Image Hashing through Tag Embeddings
• Word-Level Loss Extensions for Neural Temporal Relation Classification
• Joint Object and State Recognition using Language Knowledge
• Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding
• Computational Sociolinguistics: A Survey
• Word Representations, Tree Models and Syntactic Functions
• Speaker-change Aware CRF for Dialogue Act Classification
• Image Captioning with Unseen Objects
• Mixed Membership Word Embeddings for Computational Social Science
• Contextual Joint Factor Acoustic Embeddings
• Learning sentence embeddings using Recursive Networks
• Extending and Improving Wordnet via Unsupervised Word Embeddings
• Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction
• Learning Models for Suicide Prediction from Social Media Posts
• Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
• The Influence of Down-Sampling Strategies on SVD Word Embedding Stability
• Expansional Retrofitting for Word Vector Enrichment
• Diffusion Based Network Embedding
• Understanding Money Trails of Suspicious Activities in a cryptocurrency-based Blockchain
• Efficient Approximate Search for Sets of Vectors
• Semantically Enhanced Models for Commonsense Knowledge Acquisition
• A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining
• Discriminating Between Similar Nordic Languages
• Improving Next-Application Prediction with Deep Personalized-Attention Neural Network
• Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency
• Paying Attention to Descriptions Generated by Image Captioning Models
• Fast Extraction of Word Embedding from Q-contexts
• Analysis of Bag-of-n-grams Representation's Properties Based on Textual Reconstruction
• Good, Better, Best: Choosing Word Embedding Context
• SAR: Learning Cross-Language API Mappings with Little Knowledge
• Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model
• Danish Stance Classification and Rumour Resolution
• Learning Class-Transductive Intent Representations for Zero-shot Intent Detection
• Recommending Multiple Positive Citations for Manuscript via Content-Dependent Modeling and Multi-Positive Triplet
• A Speaker-aware Parallel Hierarchical Attentive Encoder-Decoder Model for Multi-turn Dialogue Generation
• Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
• Neural Machine Translation: A Review and Survey
• Type-aware Convolutional Neural Networks for Slot Filling
• From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips
• AMSI-Based Detection of Malicious PowerShell Code Using Contextual Embeddings
• Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing
• Better Word Embeddings by Disentangling Contextual n-Gram Information
• Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation
• Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections
• PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction
• Bangla Text Classification using Transformers
• Cyclic Label Propagation for Graph Semi-supervised Learning
• The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability
• Efficient Large-Scale Domain Classification with Personalized Attention
• Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding
• Interactive Model with Structural Loss for Language-based Abductive Reasoning
• RIPML: A Restricted Isometry Property based Approach to Multilabel Learning
• Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction
• Linguistic Characteristics of Censorable Language on SinaWeibo
• Decision-Directed Data Decomposition
• Learning Word Sense Embeddings from Word Sense Definitions
• Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation
• Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning
• Unsupervised Construction of Knowledge Graphs From Text and Code
• Why So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics
• Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
• Automatic verbal aggression detection for Russian and American imageboards
• From Cognitive to Computational Modeling: Text-based Risky Decision-Making Guided by Fuzzy Trace Theory
• Neural Architectures for Named Entity Recognition
• Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding
• You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP
• Collocation2Text: Controllable Text Generation from Guide Phrases in Russian
• Unlocking New York City Crime Insights using Relational Database Embeddings
• An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering
• Deep Joint Embeddings of Context and Content for Recommendation
• Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
• Traceability Support for Multi-Lingual Software Projects
• Discovering Differential Features: Adversarial Learning for Information Credibility Evaluation
• Intent Generation for Goal-Oriented Dialogue Systems based on Schema.org Annotations
• Principal Word Vectors
• A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings
• Sarcasm Analysis using Conversation Context
• Contextualized End-to-End Neural Entity Linking
• Mental representations of objects reflect the ways in which we interact with them
• Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations
• Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word--Definition Alignment
• Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
• On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
• BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
• Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
• Behavioural pattern discovery from collections of egocentric photo-streams
• OWL2Vec*: Embedding of OWL Ontologies
• Representation Learning for Spatial Graphs
• Context is Key: New Approaches to Neural Coherence Modeling
• Quantum Optical Experiments Modeled by Long Short-Term Memory
• BERT Goes Shopping: Comparing Distributional Models for Product Representations
• Calculated attributes of synonym sets
• Precise but Natural Specification for Robot Tasks
• AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation
• Improving Optimization for Models With Continuous Symmetry Breaking
• Predicting Semantic Relations using Global Graph Properties
• Structure-Invariant Testing for Machine Translation
• Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey
• Beyond "How may I help you?": Assisting Customer Service Agents with Proactive Responses
• Generalization to Novel Objects using Prior Relational Knowledge
• Deep learning framework DNN with conditional WGAN for protein solubility prediction
• Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability
• Generating Philosophical Statements using Interpolated Markov Models and Dynamic Templates
• Dynamic Cluster Analysis to Detect and Track Novelty in Network Telescopes
• OutFlip: Generating Out-of-Domain Samples for Unknown Intent Detection with Natural Language Attack
• High-Dimensional Vector Semantics
• Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
• Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms
• Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval
• Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning
• Hierarchical Latent Word Clustering
• Computing the Value of Data: Towards Applied Data Minimalism
• Knowledge-aware Method for Confusing Charge Prediction
• AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection
• Bridging Text and Crystal Structures: Literature-driven Contrastive Learning for Materials Science
• Intention Oriented Image Captions with Guiding Objects
• Natural Vocabulary Emerges from Free-Form Annotations
• Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes
• Multilingual Embeddings Jointly Induced from Contexts and Concepts: Simple, Strong and Scalable
• Preliminary Steps Towards Federated Sentiment Classification
• The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
• Tackling Sequence to Sequence Mapping Problems with Neural Networks
• Natural Language Processing for EHR-Based Computational Phenotyping
• BCWS: Bilingual Contextual Word Similarity
• Exploring Sentence Vector Spaces through Automatic Summarization
• Simple and Effective Text Simplification Using Semantic and Neural Methods
• Summarizing Utterances from Japanese Assembly Minutes using Political Sentence-BERT-based Method for QA Lab-PoliInfo-2 Task of NTCIR-15
• MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
• Event Coreference Resolution Using Neural Network Classifiers
• KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi
• Representation Learning of Entities and Documents from Knowledge Base Descriptions
• Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
• Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network
• Towards Learning Object Affordance Priors from Technical Texts
• Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings
• A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
• Cross-lingual Word Analogies using Linear Transformations between Semantic Spaces
• Predicting the Argumenthood of English Prepositional Phrases
• Applying SoftTriple Loss for Supervised Language Model Fine Tuning
• A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data
• Creation and Evaluation of Datasets for Distributional Semantics Tasks in the Digital Humanities Domain
• Interpretable Word Embeddings via Informative Priors
• Recursos lexicográficos electrónicos multilingües y plurilingües: definición y clasificación tipológico-descriptiva
• Contextual Skipgram: Training Word Representation Using Context Information
• MLANE: Meta-Learning Based Adaptive Network Embedding
• Domain Representative Keywords Selection: A Probabilistic Approach
• Incorporating Word Embeddings into Open Directory Project based Large-scale Classification
• Contribución de la semántica combinatoria al desarrollo de herramientas digitales multilingües
• Intelligent EHRs: Predicting Procedure Codes From Diagnosis Codes
• Context-Based Fake News Detection using Graph Based Approach: ACOVID-19 Use-case
• Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
• Cosine Similarity of Multimodal Content Vectors for TV Programmes
• Meaning guided video captioning
• Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System
• Variational Bayesian Quantization
• Hierarchical Multitask Learning Approach for BERT
• Learning Sentence Embeddings for Coherence Modelling and Beyond
• Automatic Intent-Slot Induction for Dialogue Systems
• Expanding Semantic Knowledge for Zero-shot Graph Embedding
• Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
• Query2Prod2Vec Grounded Word Embeddings for eCommerce
• Testing the Quantitative Spacetime Hypothesis using Artificial Narrative Comprehension (I) : Bootstrapping Meaning from Episodic Narrative viewed as a Feature Landscape
• Soccer Team Vectors
• Values That Are Explicitly Present in Fairy Tales: Comparing Samples from German, Italian and Portuguese Traditions
• Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
• On the Downstream Performance of Compressed Word Embeddings
• A Multi-Policy Framework for Deep Learning-Based Fake News Detection
• A New Approach for Scalable Analysis of Microbial Communities
• Good Intentions: Adaptive Parameter Management via Intent Signaling
• UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling
• A Framework for Generative and Contrastive Learning of Audio Representations
• DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications
• Target-Oriented Deformation of Visual-Semantic Embedding Space
• Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking
• Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation
• LAMVI-2: A Visual Tool for Comparing and Tuning Word Embedding Models
• CONNA: Addressing Name Disambiguation on The Fly
• Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation
• Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning
• Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors
• Improving the quality of Persian clinical text with a novel spelling correction system
• Learning Contextualized Music Semantics from Tags via a Siamese Network
• Cross-Domain Evaluation of a Deep Learning-Based Type Inference System
• A neural network to classify metaphorical violence on cable news
• Argument Invention from First Principles
• Topological Node2vec: Enhanced Graph Embedding via Persistent Homology
• Symmetrical SyncMap for Imbalanced General Chunking Problems
• Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation
• Explaining Away Syntactic Structure in Semantic Document Representations
• Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes
• Network-based Topic Interaction Map for Big Data Mining of COVID-19 Biomedical Literature
• Persistent Homology and Graphs Representation Learning
• Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective
• Emotions in Online Content Diffusion
• PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation
• Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations
• Detecting Gang-Involved Escalation on Social Media Using Context
• Shared task: Lexical semantic change detection in German (Student Project Report)
• Keyword Aware Influential Community Search in Large Attributed Graphs
• Personalized Recommender System for Children's Book Recommendation with A Realtime Interactive Robot
• Multi-Task Learning by using Contextualized Word Representations for Syntactic Parsing of a Morphologically Rich Language
• Slogatron: Advanced Wealthiness Generator
• Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic
• AspeRa: Aspect-based Rating Prediction Model
• A Latent Variable Model Approach to PMI-based Word Embeddings
• Sentimental Content Analysis and Knowledge Extraction from News Articles
• On the Information Content of Predictions in Word Analogy Tests
• Text-based classification of interviews for mental health -- juxtaposing the state of the art
• Computational linguistic assessment of textbook and online learning media by means of threshold concepts in business education
• DINE: A Framework for Deep Incomplete Network Embedding
• Extraction of Product Specifications from the Web -- Going Beyond Tables and Lists
• A Supervised Approach To The Interpretation Of Imperative To-Do Lists
• Sublanguage: A Serious Issue Affects Pretrained Models in Legal Domain
• Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy
• When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
• Syntax Representation in Word Embeddings and Neural Networks -- A Survey
• Refinement of Unsupervised Cross-Lingual Word Embeddings
• Structured and Unstructured Teams for Research Software Development at the Netherlands eScience Center
• Autocompletion interfaces make crowd workers slower, but their use promotes response diversity
• Vec2GC -- A Graph Based Clustering Method for Text Representations
• Scalable Graph Embedding LearningOn A Single GPU
• SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation
• Hater-O-Genius Aggression Classification using Capsule Networks
• Improving Automatic Hate Speech Detection with Multiword Expression Features
• Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media
• Cross-language Sentence Selection via Data Augmentation and Rationale Training
• Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations
• Deep learning bank distress from news and numerical financial data
• Multi-Target Prediction: A Unifying View on Problems and Methods
• SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations
• Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge
• Building Morphological Chains for Agglutinative Languages
• Knowledge Transfer with Medical Language Embeddings
• Automating Transfer Credit Assessment in Student Mobility -- A Natural Language Processing-based Approach
• Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration
• Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw
• On the effectiveness of feature set augmentation using clusters of word embeddings
• Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding
• A Controlled Experiment of Different Code Representations for Learning-Based Bug Repair
• Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network
• Identifier Namespaces in Mathematical Notation
• Cross-Discourse and Multilingual Exploration of Textual Corpora with the DualNeighbors Algorithm
• Adversarial Training of Word2Vec for Basket Completion
• Structured Sampling for Robust Euclidean Distance Geometry
• Active learning and element embedding approach in neural networks for infinite-layer versus perovskite oxides
• PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors
• An ensemble learning approach for software semantic clone detection
• Open Vocabulary Learning for Neural Chinese Pinyin IME
• GFCN: A New Graph Convolutional Network Based on Parallel Flows
• Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
• Discrete Word Embedding for Logical Natural Language Understanding
• SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
• The Text-Based Adventure AI Competition
• An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets
• Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories
• Monolingual sentence matching for text simplification
• Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
• Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
• Automatically Inferring Gender Associations from Language
• Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases
• The Interplay of Semantics and Morphology in Word Embeddings
• CCKS 2019 Shared Task on Inter-Personal Relationship Extraction
• Analyzing HPC Support Tickets: Experience and Recommendations
• LearningWord Embeddings for Low-resource Languages by PU Learning
• Query Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features
• Learning-based link prediction analysis for Facebook100 network
• Search Efficient Binary Network Embedding
• struc2gauss: Structural Role Preserving Network Embedding via Gaussian Embedding
• Semantic Modeling of Textual Relationships in Cross-Modal Retrieval
• Learning Neural Models for Natural Language Processing in the Face of Distributional Shift
• Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks
• A Large-Scale Benchmark for Food Image Segmentation
• Graph Neural Network based Service Function Chaining for Automatic Network Control
• Individual corpora predict fast memory retrieval during reading
• Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts
• Self-Supervised Contextual Bandits in Computer Vision
• Positional Artefacts Propagate Through Masked Language Model Embeddings
• Exploring a Hybrid Deep Learning Framework to Automatically Discover Topic and Sentiment in COVID-19 Tweets
• Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis
• Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction
• Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach
• Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
• From communities to interpretable network and word embedding: an unified approach
• Predicting Research Trends From Arxiv
• Inductive Graph Embeddings through Locality Encodings
• Patterns of Lexical Ambiguity in Contextualised Language Models
• Compositional Embeddings for Multi-Label One-Shot Learning
• Evaluation Of Word Embeddings From Large-Scale French Web Content
• A Roadmap for Robust End-to-End Alignment
• RECS: Robust Graph Embedding Using Connection Subgraphs
• Joint Semantic Synthesis and Morphological Analysis of the Derived Word
• Image Tag Completion and Refinement by Subspace Clustering and Matrix Completion
• ML Based Lineage in Databases
• Methodology for Identifying Social Groups within a Transactional Graph
• Weakly-supervised Text Classification Based on Keyword Graph
• The presence of occupational structure in online texts based on word embedding NLP models
• Twitter-based traffic information system based on vector representations for words
• Bandit algorithms for real-time data capture on large social medias
• Extending Implicit Discourse Relation Recognition to the PDTB-3
• Interleaved Multitask Learning with Energy Modulated Learning Progress
• Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling
• Transductive Multi-class and Multi-label Zero-shot Learning
• Weakly Learning to Match Experts in Online Community
• The Graph-Based Behavior-Aware Recommendation for Interactive News
• A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps
• Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization
• Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations
• Building a language evolution tree based on word vector combination model
• Approximating Categorical Similarity in Sponsored Search Relevance
• VICSOM: VIsual Clues from SOcial Media for psychological assessment
• Segmenting Messy Text: Detecting Boundaries in Text Derived from Historical Newspaper Images
• Low-Complexity Data-Parallel Earth Mover's Distance Approximations
• Connectionist Recommendation in the Wild: On the utility and scrutability of neural networks for personalized course guidance
• DeepEmo: Learning and Enriching Pattern-Based Emotion Representations
• Fast Neural Chinese Word Segmentation for Long Sentences
• Neural Latent Dependency Model for Sequence Labeling
• Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content
• Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
• A Hierarchical Deep Learning Natural Language Parser for Fashion
• Neural Relation Prediction for Simple Question Answering over Knowledge Graph
• DeCoMa: Detecting and Purifying Code Dataset Watermarks through Dual Channel Code Abstraction
• Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference
• Routing with Self-Attention for Multimodal Capsule Networks
• Socially-Informed Timeline Generation for Complex Events
• Disentangling semantics in language through VAEs and a certain architectural choice
• BERT_SE: A Pre-trained Language Representation Model for Software Engineering
• One-Shot Item Search with Multimodal Data
• e-Commerce product classification: our participation at cDiscount 2015 challenge
• CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas
• Inference Over Programs That Make Predictions
• Target-Tailored Source-Transformation for Scene Graph Generation
• On the Transferability of Adversarial Attacksagainst Neural Text Classifier
• MUSE: Textual Attributes Guided Portrait Painting Generation
• Towards the Latent Transcriptome
• Multilevel Text Alignment with Cross-Document Attention
• Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
• An Iterative Refinement Approach for Social Media Headline Prediction
• Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging
• Constructing Financial Sentimental Factors in Chinese Market Using Natural Language Processing
• Subsumptive reflection in SNOMED CT: a large description logic-based terminology for diagnosis
• Augmenting Input Method Language Model with user Location Type Information
• BURT: BERT-inspired Universal Representation from Twin Structure
• Cross-lingual Transfer of Abstractive Summarizer to Less-resource Language
• Transductive Visual Verb Sense Disambiguation
• Similarity measure for Public Persons
• Deep CNN Frame Interpolation with Lessons Learned from Natural Language Processing
• cf2vec: Collaborative Filtering algorithm selection using graph distributed representations
• Boosting the Rating Prediction with Click Data and Textual Contents
• Revisiting Initialization of Neural Networks
• Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers
• A Correlation Maximization Approach for Cross Domain Co-Embeddings
• Towards Productionizing Subjective Search Systems
• Logographic Subword Model for Neural Machine Translation
• Feature Learning for Meta-Paths in Knowledge Graphs
• Hypernyms Through Intra-Article Organization in Wikipedia
• Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet
• Harnessing Geometric Constraints from Emotion Labels to improve Face Verification
• Meta-Embedding as Auxiliary Task Regularization
• A Data-Centric Framework for Composable NLP Workflows
• Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
• A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions
• On Sampling-Based Training Criteria for Neural Language Modeling
• Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding
• SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis
• To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
• Identifying Domain Adjacent Instances for Semantic Parsers
• Revisiting the Importance of Encoding Logic Rules in Sentiment Classification
• Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
• Multimodal Skip-gram Using Convolutional Pseudowords
• Linked Recurrent Neural Networks
• Computing Word Classes Using Spectral Clustering
• A Study into patient similarity through representation learning from medical records
• Hierarchical Attention: What Really Counts in Various NLP Tasks
• Efficient Purely Convolutional Text Encoding
• SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection
• Effective Character-augmented Word Embedding for Machine Reading Comprehension
• MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection
• A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings
• Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions
• Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring
• Leveraging Medical Sentiment to Understand Patients Health on Social Media
• PREDICT: Persian Reverse Dictionary
• Concurrent Learning of Semantic Relations
• Towards Using Diachronic Distributed Word Representations as Models of Lexical Development
• Text Classification based on Multiple Block Convolutional Highways
• A Computational Theory for Life-Long Learning of Semantics
• Few-Shot Adaptation for Multimedia Semantic Indexing
• Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing
• Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings
• Synthesizing human-like sketches from natural images using a conditional convolutional decoder
• Semantic Holism and Word Representations in Artificial Neural Networks
• TEDL: A Text Encryption Method Based on Deep Learning
• A Review of Different Word Embeddings for Sentiment Classification using Deep Learning
• Utilizing Deep Learning to Identify Drug Use on Twitter Data
• Representation Learning for Weakly Supervised Relation Extraction
• Large-scale Taxonomy Induction Using Entity and Word Embeddings
• Video-aided Unsupervised Grammar Induction
• A Comparison of Neural Network Training Methods for Text Classification
• Sentence Embeddings for Russian NLU
• A neural document language modeling framework for spoken document retrieval
• Should Semantic Vector Composition be Explicit? Can it be Linear?
• Self-citation Analysis using Sentence Embeddings
• Assessing Semantic Frames to Support Program Comprehension Activities
• Collaborative Annotation of Semantic Objects in Images with Multi-granularity Supervisions
• Neural Cross-Lingual Coreference Resolution and its Application to Entity Linking
• From Algebraic Word Problem to Program: A Formalized Approach
• Continuous representations of intents for dialogue systems
• Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems
• A New Parallel Algorithm for Sinkhorn Word-Movers Distance and Its Performance on PIUMA and Xeon CPU
• Combining Model-Free Q-Ensembles and Model-Based Approaches for Informed Exploration
• SemCo: Toward Semantic Coherent Visual Relationship Forecasting
• FeelsGoodMan: Inferring Semantics of Twitch Neologisms
• Towards Explainable Fact Checking
• On Latent Distributions Without Finite Mean in Generative Models
• A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction
• Heterogeneous Graph Neural Network with Multi-view Representation Learning
• Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level Neural Language Models Trained on Unsegmented Text
• On the Universality of Deep Contextual Language Models
• Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs
• Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models?
• PicTalky: Augmentative and Alternative Communication Software for Language Developmental Disabilities
• Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
• Finding Frequent Entities in Continuous Data
• DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features
• Revisit Systematic Generalization via Meaningful Learning
• Unsupervised detection of diachronic word sense evolution
• EILEEN: A recommendation system for scientific publications and grants
• Representation Learning: A Statistical Perspective
• Text analysis and deep learning: A network approach
• Quantifying the Suicidal Tendency on Social Media: A Survey
• ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness
• Event Detection on Dynamic Graphs
• SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension
• TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
• Cross-language Information Retrieval
• Narrative Modeling with Memory Chains and Semantic Supervision
• Collaborative Item Embedding Model for Implicit Feedback Data
• Unsupervised Learning of Style-sensitive Word Vectors
• NETR-Tree: An Eifficient Framework for Social-Based Time-Aware Spatial Keyword Query
• Sentiment Composition of Words with Opposing Polarities
• SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval
• Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
• TransAug: Translate as Augmentation for Sentence Embeddings
• Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level
• A Survey on Green Deep Learning
• Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation
• Link Analysis meets Ontologies: Are Embeddings the Answer?
• Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
• AutoDC: Automated data-centric processing
• Using Distributional Principles for the Semantic Study of Contextual Language Models
• Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
• On Compositions of Transformations in Contrastive Self-Supervised Learning
• Tapping BERT for Preposition Sense Disambiguation
• A GPP algorithm for hippocampal interneuron characterization
• FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation
• Bilingual Topic Models for Comparable Corpora
• Identifying Terms and Conditions Important to Consumers using Crowdsourcing
• Learning Topics using Semantic Locality
• Evaluating Word Embedding Hyper-Parameters for Similarity and Analogy Tasks
• Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
• Not just about size - A Study on the Role of Distributed Word Representations in the Analysis of Scientific Publications
• Adversarial Multimodal Network for Movie Question Answering
• Effective Attention Modeling for Neural Relation Extraction
• Optimized Tracking of Topic Evolution
• Multi-view Banded Spectral Clustering with Application to ICD9 Clustering
• A Line in the Sand: Recommendation or Ad-hoc Retrieval?
• Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks
• Extracting clinical concepts from user queries
• Solving morphological analogies: from retrieval to generation
• The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
• Knowledge Base Population using Semantic Label Propagation
• A Self-Attention Network for Hierarchical Data Structures with an Application to Claims Management
• Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles
• Information Planning for Text Data
• Large-scale Gender/Age Prediction of Tumblr Users
• HAL 9000: a Risk Manager for ITSs
• Deep learning languages: a key fundamental shift from probabilities to weights?
• The emergent algebraic structure of RNNs and embeddings in NLP
• Is Aligning Embedding Spaces a Challenging Task? A Study on Heterogeneous Embedding Alignment Methods
• FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems
• Training with Streaming Annotation
• On the difficulty of a distributional semantics of spoken language
• Making Sense of Hidden Layer Information in Deep Networks by Learning Hierarchical Targets
• Building Sparse Deep Feedforward Networks using Tree Receptive Fields
• Frustrated Random Walks: A Fast Method to Compute Node Distances on Hypergraphs
• State-of-the-art Advances of Deep-learning Linguistic Steganalysis Research
• Balancing the composition of word embeddings across heterogenous data sets
• LVIS: A Dataset for Large Vocabulary Instance Segmentation
• Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees
• Unifying Economic and Language Models for Enhanced Sentiment Analysis of the Oil Market
• Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo
• Mapping the changing structure of science through diachronic periodical embeddings
• Proximity Preserving Binary Code using Signed Graph-Cut
• Encapsulating Textual Contents into a MOC data Structure for Advanced Applications
• STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
• Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision
• Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets
• Multi-Fusion Chinese WordNet (MCW) : Compound of Machine Learning and Manual Correction
• A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition
• Semantic Relatedness and Taxonomic Word Embeddings
• Debiasing Sentence Embedders through Contrastive Word Pairs
• A Novel Document Generation Process for Topic Detection based on Hierarchical Latent Tree Models
• Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding
• It's Only Words And Words Are All I Have
• Performance Bounds for Pairwise Entity Resolution
• Parallel Knowledge Embedding with MapReduce on a Multi-core Processor
• Graph Embedding Augmented Skill Rating System
• Sketching Linear Classifiers over Data Streams
• Autoencoding Undirected Molecular Graphs With Neural Networks
• Crime incidents embedding using restricted Boltzmann machines
• Graph Node Embeddings using Domain-Aware Biased Random Walks
• A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
• Clustering Vietnamese Conversations From Facebook Page To Build Training Dataset For Chatbot
• SECTOR: A Neural Model for Coherent Topic Segmentation and Classification
• Quantifying Similarity between Relations with Fact Distribution
• Apport des ontologies pour le calcul de la similarité sémantique au sein d'un système de recommandation
• Automatic Product Ontology Extraction from Textual Reviews
• Image Annotation Incorporating Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors
• Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units
• The Forgettable-Watcher Model for Video Question Answering
• Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
• On Bi-gram Graph Attributes
• Exploiting Rich Syntax for Better Knowledge Base Question Answering
• Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings
• JEFL: Joint Embedding of Formal Proof Libraries
• Modeling Bilingual Conversational Characteristics for Neural Chat Translation
• Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
• LHRM: A LBS based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform
• Discovering Language of the Stocks
• Hyperbolic Multiplex Network Embedding with Maps of Random Walk
• A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation
• Categorical Metadata Representation for Customized Text Classification
• The Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random Walks
• Node Attribute Generation on Graphs
• An Ensemble Method for Producing Word Representations focusing on the Greek Language
• Quality of Life Assessment of Diabetic patients from health-related blogs
• ENWalk: Learning Network Features for Spam Detection in Twitter
• Pay Attention to Those Sets! Learning Quantification from Images
• Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering
• Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings
• Latin writing styles analysis with Machine Learning: New approach to old questions
• Weakly-Supervised Spatial Context Networks
• Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
• Representation Learning for Efficient and Effective Similarity Search and Recommendation
• Twitter Sentiment on Affordable Care Act using Score Embedding
• Towards the Improvement of Automated Scientific Document Categorization by Deep Learning
• We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
• Integrating Approaches to Word Representation
• Uncovering Implicit Gender Bias in Narratives through Commonsense Inference
• Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
• Efficient Attribute Injection for Pretrained Language Models
• A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification
• Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning
• Representation Learning for Short Text Clustering
• Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions
• What to Prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development
• Grounding learning of modifier dynamics: An application to color naming
• Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization
• MORSE: Semantic-ally Drive-n MORpheme SEgment-er
• HLA class I binding prediction via convolutional neural networks
• Multi-Relation Aware Temporal Interaction Network Embedding
• Searching for Replacement Classes
• Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
• Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units
• COSTRA 1.0: A Dataset of Complex Sentence Transformations
• Fuzzy paraphrases in learning word representations with a lexicon
• SocialVec: Social Entity Embeddings
• Text Classification Components for Detecting Descriptions and Names of CAD models
• Monolingually Derived Phrase Scores for Phrase Based SMT Using Neural Networks Vector Representations
• Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
• SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
• Deconstruct and Reconstruct Dizi Music of the Northern School and the Southern School
• TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding
• Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19
• Reasoning-Driven Question-Answering for Natural Language Understanding
• Modelling Compositionality and Structure Dependence in Natural Language
• FiFTy: Large-scale File Fragment Type Identification using Neural Networks
• Empirical Evaluation of Supervision Signals for Style Transfer Models
• A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
• Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments
• Improving speech recognition models with small samples for air traffic control systems
• MultiWalk: A Framework to Generate Node Embeddings Based on an Ensemble of Walk Methods
• Abelian Neural Networks
• Algorithms and System Architecture for Immediate Personalized News Recommendations
• Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment
• Network Representation Learning: From Traditional Feature Learning to Deep Learning
• Structural Analysis of User Choices for Mobile App Recommendation
• Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space
• Improving Authorship Verification using Linguistic Divergence
• CA-EHN: Commonsense Analogy from E-HowNet
• Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)
• A Dataset of General-Purpose Rebuttal
• Utilizing FastText for Venue Recommendation
• DFraud3- Multi-Component Fraud Detection freeof Cold-start
• XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference
• Hamming Sentence Embeddings for Information Retrieval
• Abstractive and mixed summarization for long-single documents
• DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings
• Reflection-based Word Attribute Transfer
• Multi-modal Transformer for Video Retrieval
• Defining and Evaluating Fair Natural Language Generation
• A Forecasting System of Computational Time of DFT/TDDFT Calculations under the Multiverse ansatz via Machine Learning and Cheminformatics
• Visually Aware Skip-Gram for Image Based Recommendations
• Towards Earnings Call and Stock Price Movement
• Cross-lingual Semantic Role Labeling with Model Transfer
• Gibberish Semantics: How Good is Russian Twitter in Word Semantic Similarity Task?
• Simulating Name-like Vectors for Testing Large-scale Entity Resolution
• Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings
• OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
• Overlapping Spaces for Compact Graph Representations
• Self-Supervised Learning of Context-Aware Pitch Prosody Representations
• AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
• A multi-view approach for Mandarin non-native mispronunciation verification
• Interpretable Structure-aware Document Encoders with Hierarchical Attention
• Investigating Antigram Behaviour using Distributional Semantics
• Class-Similarity Based Label Smoothing for Confidence Calibration
• Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks
• On the number of k-skip-n-grams
• Quantification and Analysis of Scientific Language Variation Across Research Fields
• Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions
• Accelerating Graph Sampling for Graph Machine Learning using GPUs
• Integrated Node Encoder for Labelled Textual Networks
• Single Training Dimension Selection for Word Embedding with PCA
• Delta Embedding Learning
• Weakly-Supervised Online Hashing
• Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports
• Attentive Long Short-Term Preference Modeling for Personalized Product Search
• Implanting Rational Knowledge into Distributed Representation at Morpheme Level
• On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions
• Exploiting Sentence Embedding for Medical Question Answering
• Spatial Attention as an Interface for Image Captioning Models
• Dual Attention Model for Citation Recommendation
• Semantic Graph for Zero-Shot Learning
• The RLLChatbot: a solution to the ConvAI challenge
• Sequential Recommender via Time-aware Attentive Memory Network
• Quantum Reasoning using Lie Algebra for Everyday Life (and AI perhaps...)
• Semantic bottleneck for computer vision tasks
• Generative Model for Material Experiments Based on Prior Knowledge and Attention Mechanism
• Unsupervised Paraphrasing with Pretrained Language Models
• Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora
• Contextualisation of eCommerce Users
• Bilingual Dictionary Induction for Bantu Languages
• Leader: Prefixing a Length for Faster Word Vector Serialization
• End to End Binarized Neural Networks for Text Classification
• HARE: a Flexible Highlighting Annotator for Ranking and Exploration
• Evaluation of Siamese Networks for Semantic Code Search
• Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series
• Universal Network Representation for Heterogeneous Information Networks
• Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance
• Learning Clusterable Visual Features for Zero-Shot Recognition
• ScriptWriter: Narrative-Guided Script Generation
• Chinese Lexical Simplification
• Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training
• Misspelling Oblivious Word Embeddings
• Matching Questions and Answers in Dialogues from Online Forums
• Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors
• UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses
• Image Captioning with Visual Object Representations Grounded in the Textual Modality
• Quasi Error-free Text Classification and Authorship Recognition in a large Corpus of English Literature based on a Novel Feature Set
• A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
• GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method
• Probabilistic Clustering Using Maximal Matrix Norm Couplings
• Towards Verifying Semantic Roles Co-occurrence
• Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling