William Yang Wang

According to our database1, William Yang Wang authored at least 74 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Sentence Embedding Alignment for Lifelong Relation Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Deep Adversarial Learning for NLP.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning to Decipher Hate Symbols.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

TWEETQA: A Social Media Focused Question Answering Dataset.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Self-Supervised Dialogue Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Self-Supervised Learning for Contextualized Extractive Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Mitigating Gender Bias in Natural Language Processing: Literature Review.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Explainable NLP: A Generative Explanation Framework for Text Classification.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Quantifying Uncertainties in Natural Language Processing Tasks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Reinforced Co-Training.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Scalable Construction and Reasoning of Massive Knowledge Bases.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Simple Models for Word Formation in Slang.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Variational Knowledge Graph Reasoning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

KBGAN: Adversarial Learning for Knowledge Graph Embeddings.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

One-Shot Relational Learning for Knowledge Graphs.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Hierarchical CVAE for Fine-Grained Hate Speech Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Multi-view Models for Political Ideology Detection of News Articles.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

XL-NBT: A Cross-lingual Neural Belief Tracking Framework.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Video Captioning via Hierarchical Reinforcement Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Zero Pronoun Resolution with Attention-based Neural Network.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

MojiTalk: Generating Emotional Responses at Scale.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Deep Reinforcement Learning for NLP.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts, 2018

Deep Reinforcement Learning for Chinese Zero Pronoun Resolution.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Learning to Explain Non-Standard English Words and Phrases.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Deep Residual Learning for Weakly-Supervised Relation Extraction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization.
Proceedings of the NAACL HLT 2016, 2016

Scalable Statistical Relational Learning for NLP.
Proceedings of the Tutorial Abstracts, 2016

Learning First-Order Logic Embeddings via Matrix Factorization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic.
Machine Learning, 2015

I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Learning semantic hierarchy with distributed representations for unsupervised spoken language understanding.
Proceedings of the INTERSPEECH 2015, 2015

A Soft Version of Predicate Invention Based on Structured Sparsity.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Leveraging frame semantics and distributional semantics for unsupervised semantic slot induction in spoken dialogue systems.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Structure Learning via Parameter Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification.
Computer Speech & Language, 2013

An empirical investigation of sparse log-linear models for improved dialogue act classification.
Proceedings of the IEEE International Conference on Acoustics, 2013

Automatic Domain Partitioning for Multi-Domain Learning.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Programming with personalized pagerank: a locally groundable first-order probabilistic logic.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame-semantic parsing.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
Crowdsourcing the acquisition of natural language corpora: Methods and observations.
Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

"Love ya, jerkface": Using Sparse Log-Linear Models to Build Positive and Impolite Relationships with Teens.
Proceedings of the SIGDIAL 2012 Conference, 2012

Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Detecting Levels of Interest from Spoken Dialog with Multistream Prediction Feedback and Similarity Based Hierarchical Fusion Learning.
Proceedings of the SIGDIAL 2011 Conference, 2011

Intoxication Detection Using Phonetic, Phonotactic and Prosodic Cues.
Proceedings of the INTERSPEECH 2011, 2011

Identifying Event Descriptions using Co-training with Online News Summaries.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Improving Spoken Dialogue Understanding Using Phonetic Mixture Models.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Automatic detection of unnatural word-level segments in unit-selection speech synthesis.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
"Got You!": Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling.
Proceedings of the COLING 2010, 2010


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