276 citations · 2k across the 138 of their papers we have counts for
24 papers · 2 filters
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Xin Wang, Jiawei Wu, Da Zhang +2
Although promising results have been achieved in video captioning, existing models are limited to the fixed inventory of activities in the training corpus, and do not generalize to…
Quantifying Uncertainties in Natural Language Processing Tasks
Yijun Xiao, William Yang Wang
Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep lear…
A Survey on Natural Language Processing for Fake News Detection
Ray Oshikawa, Jing Qian, William Yang Wang
Fake news detection is a critical yet challenging problem in Natural Language Processing (NLP). The rapid rise of social networking platforms has not only yielded a vast increase i…
Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications
Deren Lei, Zichen Sun, Yijun Xiao +1
Deep neural networks with remarkably strong generalization performances are usually over-parameterized. Despite explicit regularization strategies are used for practitioners to avo…
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
Building explainable systems is a critical problem in the field of Natural Language Processing (NLP), since most machine learning models provide no explanations for the predictions…
DOLORES: Deep Contextualized Knowledge Graph Embeddings
Haoyu Wang, Vivek Kulkarni, William Yang Wang
We introduce a new method DOLORES for learning knowledge graph embeddings that effectively captures contextual cues and dependencies among entities and relations. First, we note th…
Dirichlet Variational Autoencoder for Text Modeling
Yijun Xiao, Tiancheng Zhao, William Yang Wang
We introduce an improved variational autoencoder (VAE) for text modeling with topic information explicitly modeled as a Dirichlet latent variable. By providing the proposed model t…
Analyzing and Interpreting Convolutional Neural Networks in NLP
Mahnaz Koupaee, William Yang Wang
Convolutional neural networks have been successfully applied to various NLP tasks. However, it is not obvious whether they model different linguistic patterns such as negation, int…
WikiHow: A Large Scale Text Summarization Dataset
Mahnaz Koupaee, William Yang Wang
Sequence-to-sequence models have recently gained the state of the art performance in summarization. However, not too many large-scale high-quality datasets are available and almost…
Multi-view Models for Political Ideology Detection of News Articles
Vivek Kulkarni, Junting Ye, Steven Skiena +1
A news article's title, content and link structure often reveal its political ideology. However, most existing works on automatic political ideology detection only leverage textual…
Hierarchical CVAE for Fine-Grained Hate Speech Classification
Jing Qian, Mai ElSherief, Elizabeth Belding +1
Existing work on automated hate speech detection typically focuses on binary classification or on differentiating among a small set of categories. In this paper, we propose a novel…
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong, Mo Yu, Shiyu Chang +2
Knowledge graphs (KGs) are the key components of various natural language processing applications. To further expand KGs' coverage, previous studies on knowledge graph completion u…
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
Wenhu Chen, Jianshu Chen, Yu Su +4
Task-oriented dialog systems are becoming pervasive, and many companies heavily rely on them to complement human agents for customer service in call centers. With globalization, th…
Deep Reinforcement Learning for Chinese Zero pronoun Resolution
Qingyu Yin, Yu Zhang, Weinan Zhang +2
Deep neural network models for Chinese zero pronoun resolution learn semantic information for zero pronoun and candidate antecedents, but tend to be short-sighted---they often make…
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
Wenhan Xiong, Xiaoxiao Guo, Mo Yu +3
We investigate the task of learning to follow natural language instructions by jointly reasoning with visual observations and language inputs. In contrast to existing methods which…
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
Pengda Qin, Weiran Xu, William Yang Wang
Distant supervision can effectively label data for relation extraction, but suffers from the noise labeling problem. Recent works mainly perform soft bag-level noise reduction stra…
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
Pengda Qin, Weiran Xu, William Yang Wang
Distant supervision has become the standard method for relation extraction. However, even though it is an efficient method, it does not come at no cost---The resulted distantly-sup…
Reinforced Co-Training
Jiawei Wu, Lei Li, William Yang Wang
Co-training is a popular semi-supervised learning framework to utilize a large amount of unlabeled data in addition to a small labeled set. Co-training methods exploit predicted la…
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
Xin Wang, Yuan-Fang Wang, William Yang Wang
A major challenge for video captioning is to combine audio and visual cues. Existing multi-modal fusion methods have shown encouraging results in video understanding. However, the…
Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
Mai ElSherief, Vivek Kulkarni, Dana Nguyen +2
While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we…
Simple Models for Word Formation in English Slang
Vivek Kulkarni, William Yang Wang
We propose generative models for three types of extra-grammatical word formation phenomena abounding in English slang: Blends, Clippings, and Reduplicatives. Adopting a data-driven…
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Wang, Wenhu Chen, Yuan-Fang Wang +1
Though impressive results have been achieved in visual captioning, the task of generating abstract stories from photo streams is still a little-tapped problem. Different from capti…
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection
Jing Qian, Mai ElSherief, Elizabeth M. Belding +1
Hate speech detection is a critical, yet challenging problem in Natural Language Processing (NLP). Despite the existence of numerous studies dedicated to the development of NLP hat…
IcoRating: A Deep-Learning System for Scam ICO Identification
Shuqing Bian, Zhenpeng Deng, Fei Li +9
Cryptocurrencies (or digital tokens, digital currencies, e.g., BTC, ETH, XRP, NEO) have been rapidly gaining ground in use, value, and understanding among the public, bringing asto…