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ORCIDWilliam Yang Wang
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- affiliation: University of California, Santa Barbara, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2021
[i96]Sharon Levy, Michael Saxon, William Yang Wang:
The Truth is Out There: Investigating Conspiracy Theories in Text Generation. CoRR abs/2101.00379 (2021)- [i95]Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Dimensions of Transparency in NLP Applications. CoRR abs/2101.00433 (2021) - 2020
- [j3]Sharon Levy, Wenhan Xiong, Elizabeth M. Belding, William Yang Wang:
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment. ACM Trans. Intell. Syst. Technol. 11(6): 66:1-66:17 (2020) - [c103]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. AAAI 2020: 8673-8680 - [c102]Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. AAAI 2020: 9193-9200 - [c101]Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, William Yang Wang:
Few-Shot NLG with Pre-Trained Language Model. ACL 2020: 183-190 - [c100]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. ACL 2020: 2943-2953 - [c99]Chen Wu, Prince Zizhuang Wang, William Yang Wang:
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond. ACL 2020: 3449-3464 - [c98]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. ACL 2020: 7929-7942 - [c97]Haoyu Wang, Vivek Kulkarni, William Yang Wang:
Dolores: Deep Contextualized Knowledge Graph Embeddings. AKBC 2020 - [c96]Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel:
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments. CVPR 2020: 9979-9988 - [c95]Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang:
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CVPR 2020: 12120-12129 - [c94]Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler. ECCV (6) 2020: 71-86 - [c93]Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation. ECCV (24) 2020: 413-430 - [c92]Jiannan Xiang, Xin Wang, William Yang Wang:
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation. EMNLP (Findings) 2020: 699-707 - [c91]Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. EMNLP (Findings) 2020: 1026-1036 - [c90]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. EMNLP (Findings) 2020: 2096-2111 - [c89]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Dialogue Generation. EMNLP (1) 2020: 3438-3448 - [c88]Tsu-Jui Fu, Xin Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. EMNLP (1) 2020: 4413-4422 - [c87]Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, William Yang Wang:
Investigating African-American Vernacular English in Transformer-Based Text Generation. EMNLP (1) 2020: 5877-5883 - [c86]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. EMNLP (1) 2020: 8635-8648 - [c85]Wanrong Zhu, Xin Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang:
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. EMNLP (1) 2020: 8806-8811 - [c84]Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang:
TabFact: A Large-scale Dataset for Table-based Fact Verification. ICLR 2020 - [c83]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. ICLR 2020 - [c82]Ray Oshikawa, Jing Qian, William Yang Wang:
A Survey on Natural Language Processing for Fake News Detection. LREC 2020: 6086-6093 - [c81]Kai Nakamura, Sharon Levy, William Yang Wang:
Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection. LREC 2020: 6149-6157 - [c80]Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang:
Relational Graph Learning for Grounded Video Description Generation. ACM Multimedia 2020: 3807-3828 - [i94]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. CoRR abs/2001.02332 (2020) - [i93]Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang:
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. CoRR abs/2002.05829 (2020) - [i92]Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation. CoRR abs/2003.00443 (2020) - [i91]Chen Wu, Prince Zizhuang Wang, William Yang Wang:
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond. CoRR abs/2004.09189 (2020) - [i90]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. CoRR abs/2004.10404 (2020) - [i89]Sophie Groenwold, Samhita Honnavalli, Lily Ou, Aesha Parekh, Sharon Levy, Diba Mirza, William Yang Wang:
Evaluating the Role of Language Typology in Transformer-Based Multilingual Text Classification. CoRR abs/2004.13939 (2020) - [i88]Qingfu Zhu, Weinan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Response Generation. CoRR abs/2004.14507 (2020) - [i87]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. CoRR abs/2004.14579 (2020) - [i86]Yi-Lin Tuan, Wei Wei, William Yang Wang:
Unsupervised Injection of Knowledge into Dialogue Generation via Language Models. CoRR abs/2004.14614 (2020) - [i85]Wenhan Xiong, Hong Wang, William Yang Wang:
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. CoRR abs/2005.00038 (2020) - [i84]Sharon Levy, William Yang Wang:
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment. CoRR abs/2006.03202 (2020) - [i83]Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang:
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. CoRR abs/2007.00229 (2020) - [i82]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. CoRR abs/2009.09566 (2020) - [i81]Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR abs/2009.12756 (2020) - [i80]Jiannan Xiang, Xin Eric Wang, William Yang Wang:
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation. CoRR abs/2009.13112 (2020) - [i79]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. CoRR abs/2010.02307 (2020) - [i78]Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, William Yang Wang:
Investigating African-American Vernacular English in Transformer-Based Text Generation. CoRR abs/2010.02510 (2020) - [i77]Wanrong Zhu, Xin Eric Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang:
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. CoRR abs/2010.03644 (2020) - [i76]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. CoRR abs/2010.12623 (2020)
2010 – 2019
- 2019
- [c79]Yijun Xiao, William Yang Wang:
Quantifying Uncertainties in Natural Language Processing Tasks. AAAI 2019: 7322-7329 - [c78]Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang:
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning. AAAI 2019: 8965-8972 - [c77]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. ACL (1) 2019: 1630-1640 - [c76]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. ACL (1) 2019: 2221-2227 - [c75]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL (1) 2019: 3696-3709 - [c74]Jiawei Wu, Xin Wang, William Yang Wang:
Self-Supervised Dialogue Learning. ACL (1) 2019: 3857-3867 - [c73]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. ACL (1) 2019: 4258-4264 - [c72]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. ACL (1) 2019: 5020-5031 - [c71]Hui Liu, Qingyu Yin, William Yang Wang:
Towards Explainable NLP: A Generative Explanation Framework for Text Classification. ACL (1) 2019: 5570-5581 - [c70]Pushkar Shukla, Carlos E. L. Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew A. Turk, William Yang Wang:
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. ACL (1) 2019: 6442-6451 - [c69]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. MRQA@EMNLP 2019: 48-52 - [c68]Xin Wang, Qiuyuan Huang, Asli Çelikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. CVPR 2019: 6629-6638 - [c67]Prince Zizhuang Wang, William Yang Wang:
Neural Gaussian Copula for Variational Autoencoder. EMNLP/IJCNLP (1) 2019: 4332-4342 - [c66]Jiawei Wu, Wenhan Xiong, William Yang Wang:
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. EMNLP/IJCNLP (1) 2019: 4353-4363 - [c65]Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth M. Belding, William Yang Wang:
A Benchmark Dataset for Learning to Intervene in Online Hate Speech. EMNLP/IJCNLP (1) 2019: 4754-4763 - [c64]Siyao Li, Deren Lei, Pengda Qin, William Yang Wang:
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. EMNLP/IJCNLP (1) 2019: 6037-6043 - [c63]Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang:
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. ICCV 2019: 4580-4590 - [c62]William Yang Wang, Sameer Singh, Jiwei Li:
Deep Adversarial Learning for NLP. NAACL-HLT (Tutorial Abstracts) 2019: 1-5 - [c61]Prince Zizhuang Wang, William Yang Wang:
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling. NAACL-HLT (1) 2019: 284-294 - [c60]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. NAACL-HLT (1) 2019: 773-784 - [c59]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. NAACL-HLT (1) 2019: 796-806 - [c58]Jiawei Wu, Xin Wang, William Yang Wang:
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation. NAACL-HLT (1) 2019: 1173-1183 - [c57]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Learning to Decipher Hate Symbols. NAACL-HLT (1) 2019: 3006-3015 - [c56]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. NAACL-HLT (1) 2019: 3487-3497 - [i75]Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Natural Language Grounded Multitask Navigation. ViGIL@NeurIPS 2019 - [i74]Jiannan Xiang, Xin Wang, William Yang Wang:
Not All Actions Are Equal: Learning to Stop in Language-Grounded Urban Navigation. ViGIL@NeurIPS 2019 - [i73]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. CoRR abs/1902.10339 (2019) - [i72]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. CoRR abs/1903.02588 (2019) - [i71]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. CoRR abs/1903.02591 (2019) - [i70]Jiawei Wu, Xin Wang, William Yang Wang:
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation. CoRR abs/1904.02331 (2019) - [i69]Prince Zizhuang Wang, William Yang Wang:
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling. CoRR abs/1904.02399 (2019) - [i68]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Learning to Decipher Hate Symbols. CoRR abs/1904.02418 (2019) - [i67]Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang:
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. CoRR abs/1904.03493 (2019) - [i66]Zhiyu Chen, Harini Eavani, Yinyin Liu, William Yang Wang:
Few-shot NLG with Pre-trained Language Model. CoRR abs/1904.09521 (2019) - [i65]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. CoRR abs/1905.07098 (2019) - [i64]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. CoRR abs/1905.12866 (2019) - [i63]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. CoRR abs/1906.04466 (2019) - [i62]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. CoRR abs/1906.08976 (2019) - [i61]Jiawei Wu, Xin Wang, William Yang Wang:
Self-Supervised Dialogue Learning. CoRR abs/1907.00448 (2019) - [i60]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. CoRR abs/1907.06292 (2019) - [i59]Pushkar Shukla, Carlos E. L. Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew A. Turk, William Yang Wang:
What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog. CoRR abs/1907.12021 (2019) - [i58]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Meta Reasoning over Knowledge Graphs. CoRR abs/1908.04877 (2019) - [i57]Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. CoRR abs/1908.05378 (2019) - [i56]Yijun Xiao, William Yang Wang:
Text Modeling with Syntax-Aware Variational Autoencoders. CoRR abs/1908.09964 (2019) - [i55]Siyao Li, Deren Lei, Pengda Qin, William Yang Wang:
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. CoRR abs/1909.00141 (2019) - [i54]Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang:
TabFact: A Large-scale Dataset for Table-based Fact Verification. CoRR abs/1909.02164 (2019) - [i53]Prince Zizhuang Wang, William Yang Wang:
Neural Gaussian Copula for Variational Autoencoder. CoRR abs/1909.03569 (2019) - [i52]Jiawei Wu, Wenhan Xiong, William Yang Wang:
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. CoRR abs/1909.04176 (2019) - [i51]Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth M. Belding, William Yang Wang:
A Benchmark Dataset for Learning to Intervene in Online Hate Speech. CoRR abs/1909.04251 (2019) - [i50]Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang:
Towards Open-Domain Named Entity Recognition via Neural Correction Models. CoRR abs/1909.06058 (2019) - [i49]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. CoRR abs/1909.07597 (2019) - [i48]An Yan, Xin Wang, Jiangtao Feng, Lei Li, William Yang Wang:
Cross-Lingual Vision-Language Navigation. CoRR abs/1910.11301 (2019) - [i47]Tianyu Liu, Wei Wei, William Yang Wang:
Table-to-Text Natural Language Generation with Unseen Schemas. CoRR abs/1911.03601 (2019) - [i46]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. CoRR abs/1911.03642 (2019) - [i45]Kai Nakamura, Sharon Levy, William Yang Wang:
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection. CoRR abs/1911.03854 (2019) - [i44]Tsu-Jui Fu, Xin Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling. CoRR abs/1911.07308 (2019) - [i43]Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang:
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CoRR abs/1911.07450 (2019) - [i42]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. CoRR abs/1912.09637 (2019) - [i41]Yijun Xiao, William Yang Wang:
Disentangled Representation Learning with Wasserstein Total Correlation. CoRR abs/1912.12818 (2019) - 2018
- [c55]William Yang Wang, Jiwei Li, Xiaodong He:
Deep Reinforcement Learning for NLP. ACL (5) 2018: 19-21 - [c54]Pengda Qin, Weiran Xu, William Yang Wang:
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. ACL (1) 2018: 496-505 - [c53]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution. ACL (1) 2018: 569-578 - [c52]Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang:
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. ACL (1) 2018: 899-909 - [c51]Xianda Zhou, William Yang Wang:
MojiTalk: Generating Emotional Responses at Scale. ACL (1) 2018: 1128-1137 - [c50]Pengda Qin, Weiran Xu, William Yang Wang:
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. ACL (1) 2018: 2137-2147 - [c49]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Zero Pronoun Resolution with Attention-based Neural Network. COLING 2018: 13-23 - [c48]Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang:
Video Captioning via Hierarchical Reinforcement Learning. CVPR 2018: 4213-4222 - [c47]Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang:
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation. ECCV (16) 2018: 38-55 - [c46]Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. EMNLP 2018: 414-424 - [c45]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. EMNLP 2018: 1980-1990 - [c44]Vivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang:
Multi-view Models for Political Ideology Detection of News Articles. EMNLP 2018: 3518-3527 - [c43]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Hierarchical CVAE for Fine-Grained Hate Speech Classification. EMNLP 2018: 3550-3559 - [c42]Mai ElSherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, Elizabeth M. Belding:
Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media. ICWSM 2018: 42-51 - [c41]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. IJCAI 2018: 4503-4509 - [c40]Xiang Ren, Nanyun Peng, William Yang Wang:
Scalable Construction and Reasoning of Massive Knowledge Bases. NAACL-HLT (Tutorial Abstracts) 2018: 10-16 - [c39]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection. NAACL-HLT (2) 2018: 118-123 - [c38]Xin Wang, Yuan-Fang Wang, William Yang Wang:
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning. NAACL-HLT (2) 2018: 795-801 - [c37]Jiawei Wu, Lei Li, William Yang Wang:
Reinforced Co-Training. NAACL-HLT 2018: 1252-1262 - [c36]Vivek Kulkarni, William Yang Wang:
Simple Models for Word Formation in Slang. NAACL-HLT 2018: 1424-1434 - [c35]Liwei Cai, William Yang Wang:
KBGAN: Adversarial Learning for Knowledge Graph Embeddings. NAACL-HLT 2018: 1470-1480 - [c34]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. NAACL-HLT 2018: 1823-1832 - [i40]Shuqing Bian, Zhenpeng Deng, Fei Li, Will Monroe, Peng Shi, Zijun Sun, Wei Wu, Sikuang Wang, William Yang Wang, Arianna Yuan, Tianwei Zhang, Jiwei Li:
IcoRating: A Deep-Learning System for Scam ICO Identification. CoRR abs/1803.03670 (2018) - [i39]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. CoRR abs/1803.06581 (2018) - [i38]