2021

  • Duplex Sequence-to-Sequence Learning for Reversible Machine Translation Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, and Lei Li in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Long Paper.
  • Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Long Paper.
  • TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up Yifan Jiang, Shiyu Chang, Zhangyang Wang in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Long Paper.
  • Counterfactual Maximum Likelihood Estimation for Training Deep Networks Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Long Paper.
  • Local Explanation of Dialogue Response Generation Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Long Paper.
  • A Dataset for Answering Time-Sensitive Questions Wenhu Chen, Xinyi Wang, William Yang Wang in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS 2021), Long Paper.
  • VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS 2021), Long Paper.
  • FinQA: A Dataset of Numerical Reasoning over Financial Data Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Huang, Bryan R. Routledge, William Yang Wang in Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Long Paper, ACL.
  • Modeling Disclosive Transparency in NLP Application Descriptions Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak and William Yang Wang in Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Long Paper, ACL.
  • A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space Alexander Jones, William Yang Wang and Kyle Mahowald in Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Long Paper, ACL.
  • Open-Domain Question-Answering for COVID-19 and Other Emergent Domains Sharon Levy, Kevin Mo, Wenhan Xiong and William Yang Wang in Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Demos Track, ACL.
  • Zero-Shot Fact Verification by Claim Generation Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan and William Yang Wang in Findings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Short Paper, ACL.
  • Neural Stylistic Response Generation with Disentangled Latent Variables Qingfu Zhu, Wei-Nan Zhang, Ting Liu and William Yang Wang in Findings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Long Paper, ACL.
  • Investigating Memorization of Conspiracy Theories in Text Generation Sharon Levy, Michael Saxon and William Yang Wang in Findings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Findings of ACL-IJCNLP 2021), Long Paper, ACL.
  • Unsupervised Multi-hop Question Answering by Question Generation Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan and William Yang Wang in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2021), Long Paper, ACL.
  • Semi-Supervised Policy Initialization for Playing Games with Language Hints Tsu-Jui Fu and William Yang Wang in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2021), Short Paper, ACL.
  • Open Question Answering over Tables and Text Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William Cohen in Proceedings of the International Conference on Learning Representations (ICLR 2021), Full Paper, ICLR.
  • Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz in Proceedings of the International Conference on Learning Representations (ICLR 2021), Full Paper, ICLR.
  • Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering Wenhan Xiong, Hong Wang and William Yang Wang in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Long Paper, ACL.
  • On Hallucination and Predictive Uncertainty in Conditional Language Generation Yijun Xiao and William Yang Wang in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Long Paper, ACL.
  • L2C: Describing Visual Differences Needs Semantic Understanding of Individuals An Yan, Xin Wang, Tsu-Jui Fu and William Yang Wang in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Short Paper, ACL.
  • Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu and William Yang Wang in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Long Paper, ACL.
  • HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin and William Yang Wang in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Demo Paper, ACL.
  • Meta Module Network for Compositional Visual Reasoning Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu in Proceedings of Winter Conference on Applications of Computer Vision (WACV 2021), Oral Paper, IEEE/CVF. Best Student Paper Award Honorable Mention.

2020

  • Investigating African-American Vernacular English in Transformer-Based Text Generation Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza and William Yang Wang in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Short Paper, ACL.
  • KGLM: Pretrained Knowledge-Grounded Language Model for Data-to-Text Generation Wenhu Chen, Yu Su, Xifeng Yan and William Yang Wang in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Long Paper, ACL.
  • Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations Wanrong Zhu, Xin Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Short Paper, ACL.
  • Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning Tsu-Jui Fu, Xin Wang, Scott Grafton, Miguel Eckstein, William Yang Wang in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Long Paper, ACL.
  • Counterfactual Off-Policy Training for Neural Dialogue Generation Qingfu Zhu, Wei-Nan Zhang, Ting Liu and William Yang Wang in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Long Paper, ACL.
  • Logic2Text: High-Fidelity Natural Language Generation from Logical Forms Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Findings of EMNLP, ACL.
  • HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Wang in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Findings of EMNLP, ACL.
  • Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation Jiannan Xiang, Xin Wang and William Yang Wang in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Findings of EMNLP, ACL.
  • Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler Tsu-Jui Fu, Xin Wang, Matthew F Peterson, Scott T. Grafton, Miguel Eckstein, William Yang Wang in Proceedings of the 16th European Conference on Computer Vision (ECCV 2020), Spotlight Paper: Top 5% out of 5025 submissions , Springer.
  • Environment-agnostic Multitask Learning for Natural Language Grounded Navigation Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi in Proceedings of the 16th European Conference on Computer Vision (ECCV 2020), full paper, Springer
  • SafeRoute: Learning to Navigate Streets Safely in an Urban Environment Sharon Levy, Wenhan Xiong, Elizabeth Belding, and William Yang Wang in ACM Transactions on Intelligent Systems and Technology (ACM TIST), journal paper, ACM, 2020
  • Logical Natural Language Generation from Open-Domain Tables Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen and William Yang Wang In Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)
  • Couple-VAE: Mitigating the Encoder-Decoder Incompatibility in Variational Text Modeling with Coupled Deterministic Networks Chen Wu, Prince Zizhuang Wang, William Yang Wang In Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)
  • Towards Understanding Gender Bias in Relation Extraction Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang In Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)
  • Few-Shot NLG with Pre-Trained Language Model Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, William Yang Wang In Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)
  • Vision-Language Navigation Policy Learning and Adaptation Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel In Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) [PDF]  
  • Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang In Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) [PDF]  
  • Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection Kai Nakamura, Sharon Levy, William Yang Wang In roceedings of 12th International Conference on Language Resources and Evaluation (LREC 2020) [PDF]  
  • A Survey on Natural Language Processing for Fake News Detection Ray Oshikawa, Jing Qian, William Yang Wang In Proceedings of 12th International Conference on Language Resources and Evaluation (LREC 2020) [PDF]  
  • Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov In Proceedings of the International Conference on Learning Representations (ICLR 2020) [PDF]  
  • TabFact: A Large-scale Dataset for Table-based Fact Verification Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang In Proceedings of the International Conference on Learning Representations (ICLR 2020) [PDF]  
  • Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)
  • Multi-Task Self-Supervised Learning for Disfluency Detection Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

2019

  • Neural Gaussian Copula for Variational Autoencoder Prince Zizhuang Wang, William Yang Wang In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019) [PDF]   [BIB]  
  • Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization Siyao Li, Deren Lei, Pengda Qin, William Yang Wang In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019) [PDF]   [BIB]  
  • A Benchmark Dataset for Learning to Intervene in Online Hate Speech Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, William Yang Wang In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019) [PDF]   [BIB]  
  • VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang In Proceedings of the 17th CVF/IEEE International Conference on Computer Vision (ICCV 2019) [PDF]   [BIB]   [WEBSITE]  
  • Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). [Paper]   [Bib]   [Code]  
  • Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). [Paper]   [Bib]   [Code]  
  • TWEETQA: A Social Media Focused Question Answering Dataset Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). [Preprint coming soon]   [Bib]   [Code]  
  • What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog Pushkar shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk, William Yang Wang In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). [Preprint coming soon]   [Bib]   [Code]  
  • Self-Supervised Learning for Contextualized Extractive Summarization Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). [Paper]   [Bib]   [Code]  
  • Towards Explainable NLP: A Generative Explanation Framework for Text Classification Hui Liu, Qingyu Yin, William Yang Wang In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). [Paper]   [Bib]   [Code]  
  • Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). [Paper]   [Bib]   [Code]  
  • Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang In Proceedings of the 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019). [Paper]   [Bib]   [Code]   *Best Student Paper Award  
  • Sentence Embedding Alignment for Lifelong Relation Extraction Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019). [Paper]   [Bib]   [Code]  
  • Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling Prince Zizhuang Wang, William Yang Wang In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019). [Paper]   [Bib]   [Code]  
  • Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019). [Paper]   [Bib]   [Code]  
  • Learning to Decipher Hate Symbols Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019). [Paper]   [Bib]   [Code]  
  • How Large A Vocabulary Does Text Classification Need? A Variational Approach on Vocabulary Selection Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019). [Paper]   [Bib]   [Code]  
  • Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019). [Paper]   [Bib]   [Code]  
  • Quantifying Uncertainties in Natural Language Processing Tasks Yijun Xiao, William Yang Wang In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019). [Paper]   [Bib]   [Code]  

2018

  • One-Shot Relational Learning for Knowledge Graphs Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). [Paper]   [Bib]   [Code]  
  • Hierarchical CVAE for Fine-Grained Hate Speech Classification Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). [Paper]   [Bib]   [Code]  
  • Multi-view Models for Political Ideology Detection of News Articles Vivek Kulkarni, Junting Ye, Steve Skienam, William Yang Wang In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). [Paper]   [Bib]   [Code]  
  • XL-NBT: A Cross-lingual Neural Belief Tracking Framework Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). [Paper]   [Bib]   [Code]  
  • Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation Xin Wang*, Wenhan Xiong*, Hongmin Wang, William Yang Wang (* Equal contribution) In Proceedings of the 15th European Conference on Computer Vision (ECCV 2018). [Paper]   [Bib]   [Code]  
  • No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling Xin Wang*, Wenhu Chen*, Yuan-Fang Wang, William Yang Wang (* Equal contribution) In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018). [Paper]   [Bib]   [Code]  
  • MOJITALK: Generating Emotional Responses at Scale Xianda Zhou, William Yang Wang In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018). [Paper]   [Bib]   [Code]  
  • DSGAN: Generative Adversarial Training for Robust Distant Supervision Relation Extraction Pengda Qin, Weiran Xu, William Yang Wang In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018). [Paper]   [Bib]   [Code]  
  • Deep Reinforcement Learning for Chinese Zero Pronoun Resolution Qingyu Yin, Yu Zhang, Wei-Nan Zhang, Ting Liu, William Yang Wang In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018). [Paper]   [Bib]   [Code]  
  • Robust Distant Supervision via Deep Reinforcement Learning Pengda Qin, Weiran Xu, William Yang Wang In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018). [Paper]   [Bib]   [Code]  
  • Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018). [Paper]   [Bib]   [Code]  
  • Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media Mai Elsherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, Elizabeth Belding In Proceedings of the 12th International AAAI Conference on Web and Social Media (ICWSM 2018). [Paper]   [Bib]   [Code]  
  • Video Captioning via Hierarchical Reinforcement Learning Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang In Proceedings of the Thirtieth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018). [Paper]   [Bib]   [Data]   [Code]  
  • Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018). [Paper]   [Bib]   [Code]  
  • Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning Xin Wang, Yuan-Fang Wang, William Yang Wang In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018). [Paper]   [Bib]   [Code]  
  • Variational Knowledge Graph Reasoning Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018). [Paper]   [Bib]   [Code]  
  • Simple Models for Word Formation in Slang Vivek Kulkarni, William Yang Wang In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018). [Paper]   [Bib]   [Code]  
  • KBGAN: Adversarial Learning for Knowledge Graph Embeddings Liwei Cai, William Yang Wang In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018). [Paper]   [Bib]   [Code]  

2017

  • Learning to Explain Non-Standard English Words and Phrases Ke Ni, William Yang Wang In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017). [Paper]   [Bib]   [Data]
  • DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning Wenhan Xiong, Thien Hoang, William Yang Wang In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017). [Paper]   [Bib]   [Code]   [NELL-995 Dataset]
  • Deep Residual Learning for Weakly-Supervised Relation Extraction Yi Yao Huang, William Yang Wang In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017). [Paper]   [Bib]   [Code]
  • "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection William Yang Wang In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017). [Paper]   [Bib]   [Data]

2016 and before

  • Learning First-Order Logic Embeddings via Matrix Factorization William Yang Wang, William W. Cohen In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016). [Paper]   [Bib]
  • A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization William Yang Wang, Yashar Mehdad, Drago Radev, Amanda Stent In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2016). [Paper]   [Bib]
  • That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets William Yang Wang, Diyi Yang In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015). [Paper]   [Bib]   [Data]   [EMNLP 2015 Notable Data Set Award: 2/1300, 0.2%]
  • A Soft Version of Predicate Invention Based on Structured Sparsity William Yang Wang, Kathryn Mazaitis, William W. Cohen In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015). [Paper]   [Bib]   [Data]
  • Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach William Yang Wang, William W. Cohen In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2015). [Paper]   [Bib]   [Data]
  • Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding Yun-Nung Chen, William Yang Wang, Anatole Gershman, Alexander Rudnicky In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2015). [Paper]   [Bib]
  • Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic William Yang Wang, Kathryn Mazaitis, Ni Lao, William W. Cohen In Machine Learning Journal (MLJ 2015). [Paper]   [Bib]   [Code]
  • I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions William Yang Wang, Miaomiao Wen In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015). [Paper]   [Bib]   [Data]   [Covered by Mental Floss]
  • Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding Yun-Nung Chen, William Yang Wang, Alex Rudnicky In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015). [Paper]   [Bib]
  • Learning Semantic Hierarchy with Distributed Representations for Unsupervised Spoken Language Understanding Yun-Nung Chen, William Yang Wang, Alex Rudnicky In Proceedings of the 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015). [Paper]   [Bib]
  • Structure Learning via Parameter Learning William Yang Wang, Kathryn Mazaitis, William W. Cohen In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014). [Paper]   [Bib]
  • Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2014). [Paper]   [Bib]   [Data]
  • A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls William Yang Wang, Zhenhao Hua In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014). [Paper]   [Bib]   [Data]
  • ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference William Yang Wang, Kathryn Mazaitis, William W. Cohen In Proceedings of the AAAI 2014 Workshop on Statistical Relational AI (StarAI 2014). [Paper]   [Bib]   [Code]
  • Leveraging Frame Semantics and Distributional Semantics for Unsupervised Semantic Slot Induction for Spoken Dialogue Systems Yun-Nung Chen, William Yang Wang, Alex Rudnicky In Proceedings of the 2014 IEEE Workshop Spoken Language Technology (SLT 2014). An abstract was presented at ACL 2014 Workshop on Semantic Parsing (SP 2014). [Paper]   [Bib]
  • Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic William Yang Wang, Kathryn Mazaitis, William W. Cohen In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013). An extended abstract was presented at ICML 2013 workshop on Inferning: Interactions between Inference and Learning. [Paper]   [Bib]   [Code]   [Video-ICML]   [Slides-CIKM]   [CIKM 2013 Best Paper Honorable Mention Award: 3/848, 0.3%]
  • This Text has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics William Yang Wang, Ed Lin, John Kominek In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013). [Paper]   [Bib]   [Data]
  • Automatic Domain Partitioning for Multi-Domain Learning Di Wang, Chenyan Xiong, William Yang Wang In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013). [Paper]   [Bib]
  • Unsupervised Induction and Filling of Semantic Slots for Spoken Dialogue Systems using Frame-Semantic Parsing Yun-Nung Chen, William Yang Wang, Alex Rudnicky In Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2013). [Paper]   [Bib]   [ASRU 2013 Best Student Paper Award: 1/~170, 0.6%]
  • An Empirical Investigation of Sparse Log-Linear Models for Improved Dialogue Act Classification Yun-Nung Chen, William Yang Wang, Alex Rudnicky In Proceedings of 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). [Paper]   [Bib]
  • Crowdsourcing the Acquisition of Natural Language Corpora: Methods and Observations William Yang Wang, Dan Bohus, Ece Kamar, Eric Horvitz In Proceedings of the 2012 IEEE Workshop Spoken Language Technology (SLT 2012). [Paper]   [Bib]
  • Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model William Yang Wang, Elijah Mayfield, Suresh Naidu, Jeremiah Dittmar In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012). [Paper]   [Bib]
  • "Love ya, jerkface": using Sparse Log-Linear Models to Build Positive (and Impolite) Relationships with Teens William Yang Wang, Samantha Finkelstein, Amy Ogan, Alan W Black, Justine Cassell In Proceedings of the 13th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2012). [Paper]   [Bib]   [Video]
  • Automatic Detection of Speaker State: Lexical, Prosodic, and Phonetic Approaches to Level-of-Interest and Intoxication Classification William Yang Wang, Fadi Biadsy, Andrew Rosenberg, Julia Hirschberg In the Computer Speech and Language Journal, 2012. [Paper]   [Bib]
  • Automatic Detection of Unnatural Word-Level Segments in Unit-Selection Speech Synthesis William Yang Wang, Kallirroi Georgila In Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2011). [Paper]   [Bib]
  • Identifying Event Descriptions using Co-training with Online News Summaries William Yang Wang, Kapil Thadani, Kathleen R. McKeown In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP 2011). [Paper]   [Bib]   [CSC Corpus]
  • Improving Spoken Dialogue Understanding Using Phonetic Mixture Models William Yang Wang, Ron Artstin, Anton Leuski, David Traum In Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches, IGI Global. [An invited book chapter based on the FLAIRS 2011 paper]
  • Intoxication Detection using Phonetic, Phonotactic and Prosodic Cues Fadi Biadsy, William Yang Wang, Andrew Rosenberg, Julia Hirschberg In Proceedings of the 12th Annual Conference of the International Speech Communication Association (INTERSPEECH 2011). [Paper]   [Bib]
  • Detecting Levels of Interest from Spoken Dialog with Multistream Prediction Feedback and Similarity Based Hierarchical Fusion Learning William Yang Wang, Julia Hirschberg In Proceedings of the 12th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2011). [Paper]   [Bib]
  • Improving Spoken Dialogue Understanding Using Phonetic Mixture Models William Yang Wang, Ron Artstein, Anton Leuski, David Traum In Proceedings of the 24th International Florida Artificial Intelligence Research Society Conference (FLAIRS-24). [Paper]   [Bib]   [FLAIRS 2011 Best Paper Finalist: 6/179, 3%]
  • Got You!: Automatic Vandalism Detection in Wikipedia with Web-based Syntactic-Semantic Modeling William Yang Wang, Kathleen McKeown In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010). [Paper]   [Bib]