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- affiliation: University of California, Santa Barbara, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2022
[i131]Alon Albalak, Sharon Levy, William Yang Wang:
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains. CoRR abs/2201.11153 (2022)- [i130]Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi, Qiaozi Gao, Alessandra Cervone, William Yang Wang:
Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems. CoRR abs/2203.10610 (2022) - [i129]Wanrong Zhu, Bo Pang, Ashish V. Thapliyal, William Yang Wang, Radu Soricut:
End-to-end Dense Video Captioning as Sequence Generation. CoRR abs/2204.08121 (2022) - [i128]Yujie Lu, Wanrong Zhu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Imagination-Augmented Natural Language Understanding. CoRR abs/2204.08535 (2022) - [i127]Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang:
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data. CoRR abs/2204.13243 (2022) - 2021
- [j4]Xin Wang
, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Vision-Language Navigation Policy Learning and Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4205-4216 (2021) - [c126]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. ACL/IJCNLP (2) 2021: 476-483 - [c125]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Neural Stylistic Response Generation with Disentangled Latent Variables. ACL/IJCNLP (1) 2021: 4391-4401 - [c124]Sharon Levy, Michael Saxon, William Yang Wang:
Investigating Memorization of Conspiracy Theories in Text Generation. ACL/IJCNLP (Findings) 2021: 4718-4729 - [c123]Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang:
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. EACL (System Demonstrations) 2021: 329-336 - [c122]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. EACL 2021: 1207-1221 - [c121]An Yan, Xin Wang, Tsu-Jui Fu, William Yang Wang:
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. EACL 2021: 2315-2320 - [c120]Yijun Xiao, William Yang Wang:
On Hallucination and Predictive Uncertainty in Conditional Language Generation. EACL 2021: 2734-2744 - [c119]Wenhan Xiong, Hong Wang, William Yang Wang:
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. EACL 2021: 2803-2815 - [c118]Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang:
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. EMNLP (Demos) 2021: 259-266 - [c117]Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Modeling Disclosive Transparency in NLP Application Descriptions. EMNLP (1) 2021: 2023-2037 - [c116]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:
FinQA: A Dataset of Numerical Reasoning over Financial Data. EMNLP (1) 2021: 3697-3711 - [c115]Alexander Jones, William Yang Wang, Kyle Mahowald:
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space. EMNLP (1) 2021: 5833-5847 - [c114]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. ICLR 2021 - [c113]Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR 2021 - [c112]Tsu-Jui Fu, William Yang Wang:
Semi-Supervised Policy Initialization for Playing Games with Language Hints. NAACL-HLT 2021: 3112-3116 - [c111]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. NAACL-HLT 2021: 5866-5880 - [c110]Wenhu Chen, Xinyi Wang, William Yang Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. NeurIPS Datasets and Benchmarks 2021 - [c109]Wenhu Chen, Xinyi Wang, William Yang Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. NeurIPS Datasets and Benchmarks 2021 - [c108]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. NeurIPS Datasets and Benchmarks 2021 - [c107]Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang:
Local Explanation of Dialogue Response Generation. NeurIPS 2021: 404-416 - [c106]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. NeurIPS 2021: 25072-25085 - [c105]Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. WACV 2021: 655-664 - [i126]Sharon Levy, Michael Saxon, William Yang Wang:
The Truth is Out There: Investigating Conspiracy Theories in Text Generation. CoRR abs/2101.00379 (2021) - [i125]Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Dimensions of Transparency in NLP Applications. CoRR abs/2101.00433 (2021) - [i124]Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song:
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. CoRR abs/2101.11796 (2021) - [i123]An Yan, Xin Eric Wang, Tsu-Jui Fu, William Yang Wang:
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. CoRR abs/2102.01860 (2021) - [i122]Tony Sun, Kellie Webster, Apurva Shah, William Yang Wang, Melvin Johnson:
They, Them, Theirs: Rewriting with Gender-Neutral English. CoRR abs/2102.06788 (2021) - [i121]Yijun Xiao, William Yang Wang:
On Hallucination and Predictive Uncertainty in Conditional Language Generation. CoRR abs/2103.15025 (2021) - [i120]Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang:
Diagnosing Vision-and-Language Navigation: What Really Matters. CoRR abs/2103.16561 (2021) - [i119]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Language-based Video Editing via Multi-Modal Multi-Level Transformer. CoRR abs/2104.01122 (2021) - [i118]Nicole X. Han, William Yang Wang, Miguel P. Eckstein:
Gaze Perception in Humans and CNN-Based Model. CoRR abs/2104.08447 (2021) - [i117]Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein:
Comparing Visual Reasoning in Humans and AI. CoRR abs/2104.14102 (2021) - [i116]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. CoRR abs/2105.14682 (2021) - [i115]Tsu-Jui Fu, Xin Eric Wang, William Yang Wang:
Language-Driven Image Style Transfer. CoRR abs/2106.00178 (2021) - [i114]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. CoRR abs/2106.03831 (2021) - [i113]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:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. CoRR abs/2106.04632 (2021) - [i112]Wanrong Zhu, Xin Eric Wang, An Yan, Miguel P. Eckstein, William Yang Wang:
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. CoRR abs/2106.05970 (2021) - [i111]Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang:
Local Explanation of Dialogue Response Generation. CoRR abs/2106.06528 (2021) - [i110]Wenhu Chen, Xinyi Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. CoRR abs/2108.06314 (2021) - [i109]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:
FinQA: A Dataset of Numerical Reasoning over Financial Data. CoRR abs/2109.00122 (2021) - [i108]Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang:
D-REX: Dialogue Relation Extraction with Explanations. CoRR abs/2109.05126 (2021) - [i107]Alex Jones, William Yang Wang, Kyle Mahowald:
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space. CoRR abs/2109.06324 (2021) - [i106]Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang:
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. CoRR abs/2110.02950 (2021) - [i105]Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang:
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. CoRR abs/2110.06962 (2021) - [i104]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
ContraQA: Question Answering under Contradicting Contexts. CoRR abs/2110.07803 (2021) - [i103]Yujie Lu, Ping Nie, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren:
MIC: Model-agnostic Integrated Cross-channel Recommenders. CoRR abs/2110.11570 (2021) - [i102]Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai:
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction. CoRR abs/2110.12081 (2021) - [i101]Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling. CoRR abs/2111.12681 (2021) - [i100]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. CoRR abs/2112.00967 (2021) - [i99]Michael Saxon, Xinyi Wang, William Yang Wang:
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets. CoRR abs/2112.09237 (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) - [c104]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 - [c103]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 - [c102]Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, William Yang Wang:
Few-Shot NLG with Pre-Trained Language Model. ACL 2020: 183-190 - [c101]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 - [c100]Chen Wu, Prince Zizhuang Wang, William Yang Wang:
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond. ACL 2020: 3449-3464 - [c99]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. ACL 2020: 7929-7942 - [c98]Haoyu Wang, Vivek Kulkarni, William Yang Wang:
Dolores: Deep Contextualized Knowledge Graph Embeddings. AKBC 2020 - [c97]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 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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 - [c91]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 - [c90]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Dialogue Generation. EMNLP (1) 2020: 3438-3448 - [c89]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 - [c88]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 - [c87]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. EMNLP (1) 2020: 8635-8648 - [c86]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 - [c85]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 - [c84]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. ICLR 2020 - [c83]Ray Oshikawa, Jing Qian, William Yang Wang:
A Survey on Natural Language Processing for Fake News Detection. LREC 2020: 6086-6093 - [c82]Kai Nakamura, Sharon Levy, William Yang Wang:
Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection. LREC 2020: 6149-6157 - [c81]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 - [i98]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) - [i97]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) - [i96]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) - [i95]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. CoRR abs/2004.07347 (2020) - [i94]Chen Wu, Prince Zizhuang Wang, William Yang Wang:
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond. CoRR abs/2004.09189 (2020) - [i93]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. CoRR abs/2004.10404 (2020) - [i92]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) - [i91]Qingfu Zhu, Weinan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Response Generation. CoRR abs/2004.14507 (2020) - [i90]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) - [i89]Yi-Lin Tuan, Wei Wei, William Yang Wang:
Unsupervised Injection of Knowledge into Dialogue Generation via Language Models. CoRR abs/2004.14614 (2020) - [i88]Wenhan Xiong, Hong Wang, William Yang Wang:
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. CoRR abs/2005.00038 (2020) - [i87]Sharon Levy, William Yang Wang:
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment. CoRR abs/2006.03202 (2020) - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. CoRR abs/2010.02307 (2020) - [i81]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) - [i80]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) - [i79]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. CoRR abs/2010.10439 (2020) - [i78]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
- [c80]Yijun Xiao, William Yang Wang:
Quantifying Uncertainties in Natural Language Processing Tasks. AAAI 2019: 7322-7329 - [c79]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 - [c78]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 - [c77]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 - [c76]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 - [c75]Jiawei Wu, Xin Wang, William Yang Wang:
Self-Supervised Dialogue Learning. ACL (1) 2019: 3857-3867 - [c74]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 - [c73]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 - [c72]Hui Liu, Qingyu Yin, William Yang Wang:
Towards Explainable NLP: A Generative Explanation Framework for Text Classification. ACL (1) 2019: 5570-5581 - [c71]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 - [c70]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 - [c69]Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, 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 - [c68]Prince Zizhuang Wang, William Yang Wang:
Neural Gaussian Copula for Variational Autoencoder. EMNLP/IJCNLP (1) 2019: 4332-4342 - [c67]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 - [c66]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 - [c65]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 - [c64]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 - [c63]William Yang Wang, Sameer Singh, Jiwei Li:
Deep Adversarial Learning for NLP. NAACL-HLT (Tutorial Abstracts) 2019: 1-5 - [c62]Prince Zizhuang Wang, William Yang Wang:
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling. NAACL-HLT (1) 2019: 284-294 - [c61]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 - [c60]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 - [c59]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 - [c58]