Welcome!

This is the official page of UC Santa Barbara Natural Language Processing Group.


About Us

The UC Santa Barbara NLP group studies the theoretical foundation and practical algorithms for language technologies. We tackle challenging learning and reasoning problems under uncertainty, and pursue answers via studies of machine learning, deep learning, and interdisciplinary data science.

Broadly, we are interested in designing scalable inference and learning algorithms to analyze massive datasets with complex structures. In particular, our lab concentrates in the areas of information extraction, computational social science, knowledge graph, learning to reason, dialogue systems, language & vision, summarization, statistical relational learning, reinforcement learning, structure learning, and deep learning.


News

[12/26/2019] Congratulations Wenhu Chen and Wenhan Xiong for their accepted ICLR 2020 papers!
[06/24/2019] Congratultions to Xin Wang on winning the CVPR 2019 Best Student Paper Award.
[05/25/2019] The NLP Group has received a new Google gift to work on language and vision research. Thanks Google!
[05/15/2019] We are excited to share the news that 7 long papers and 1 short paper from UCSB NLP group were accepted to the ACL 2019 conference! Preprints will be released soon.
[03/15/2019] The NLP lab has received a Google Faculty Research Award. Thanks Google!
[03/05/2019] Congrats Xin for his accepted CVPR 2019 oral paper on vision-language navigation with Microsoft Research collaborators!
[02/22/2019] We are excited to share the news that 6 papers from UCSB NLP group were accepted to the NAACL-HLT 2019 conference! Preprints will be released soon.
[11/06/2018] The NLP lab has received a Tencent AI Lab Rhino-Bird Gift Fund. Thanks Tencent!
[11/06/2018] The NLP lab has received two faculty research grants from Intel AI. Thanks Intel!
[11/01/2018] We are excited to share the news that 2 papers from UCSB NLP group were accepted to the AAAI 2019 conference! Preprints will be released soon.
[08/27/2018] The NLP lab has received a new IBM Faculty Award (2018). Thanks IBM!
[08/24/2018] Prof. William Wang received prestigious 2018 DARPA Young Faculty Award!
[08/10/2018] We are excited to share the news that 4 long papers from UCSB NLP group were accepted to the EMNLP 2018 conference! Preprints will be released soon.
[07/03/2018] Our paper "Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation" was accepted to ECCV 2018. Congrats Xin, Wenhan, and Hongmin!
[06/24/2018] The NLP lab has received an Amazon AWS Grant for Research. Thanks AWS!
[05/24/2018] The NLP lab has received a Facebook Research Award to work on low-resource machine translation and comparable corpora mining. Thanks Facebook!
[04/20/2018] We are excited to share the news that 5 long papers from UCSB NLP group were accepted to the ACL 2018 conference! Preprints will be released soon.
[04/16/2018] Our paper "Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents" was accepted to IJCAI-ECAI 2018. Congrats Wenhan! Preprints will be released soon.
[03/21/2018] Our paper "Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media" was accepted to ICWSM 2018. Congrats Mai and Vivek! Preprints will be released soon.
[03/17/2018] The NLP lab has received an Adobe Research Award for language and vision research. Thanks Adobe!
[03/03/2018] The Brookings Institution quoted our ACL 2017 paper on automated fake news detection [LINK].
[02/28/2018] We have two short papers accepted to NAACL-HLT 2018 conference! Preprints will be released soon.
[02/26/2018] We are co-organizing SoCal NLP Symposium with Prof. Sameer Singh. Welcome to join us this April! Check the details [here].
[02/18/2018] Our paper "Video Captioning via Hierarchical Reinforcement Learning" was accepted to CVPR 2018. Congrats Xin and Wenhu! [PDF]
[02/14/2018] We are excited to share the news that 4 long papers from UCSB NLP group were accepted to the NAACL-HLT 2018 conference! Preprints will be released soon.
[02/10/2018] Two tutorials accepted at major NLP conferences. Together with Jiwei Li (Stanford/Shannon.ai) and Xiaodong He (MSR), Prof. William Wang will present a tutorial on "Deep Reinforcement Learning for NLP" at ACL 2018. Together with Xiang Ren (USC) and Nanyun Peng (USC/ISI), Prof. William Wang will present a tutorial on Scalable Construction and Reasoning of Massive Knowledge Bases at NAACL-HLT 2018.
[12/18/2017] Congrats NLP Lab's undergraduate researcher Ke Ni for being named the honorable mention for the Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award 2018!
[11/22/2017] The NLP lab has received an unrestricted gift from Bytedance. Thanks Toutiao!
[11/06/2017] The NLP lab has received a Tencent AI Lab Rhino-Bird Award. Thanks Tencent!
[11/06/2017] Prof. William Wang recently discussed challenges on dialogue research with Wired [LINK] [PDF].

Recent Papers

  • Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov 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 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 AAAI 2020   [Preprint coming soon]  
  • Multi-Task Self-Supervised Learning for Disfluency Detection Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang AAAI 2020   [Preprint coming soon]  
  • Neural Gaussian Copula for Variational Autoencoder Prince Zizhuang Wang, William Yang Wang EMNLP-IJCNLP 2019   [PDF]   [BIB]  
  • Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization Siyao Li, Deren Lei, Pengda Qin, William Yang Wang 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 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 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 ACL 2019   [Paper]  
  • Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang ACL 2019   [Paper]  
  • 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 ACL 2019   [Preprint coming soon]  
  • 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 ACL 2019   [Preprint coming soon]  
  • Self-Supervised Learning for Contextualized Extractive Summarization Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang ACL 2019   [Paper]  
  • Towards Explainable NLP: A Generative Explanation Framework for Text Classification Hui Liu, Qingyu Yin, William Yang Wang ACL 2019   [Paper]  
  • 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 ACL 2019   [Paper]  
  • 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 CVPR 2019   [Paper]   *Best Student Paper Award  
  • Sentence Embedding Alignment for Lifelong Relation Extraction Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang NAACL-HLT 2019   [Paper]  
  • Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling Prince Zizhuang Wang, William Yang Wang NAACL-HLT 2019   [Paper]  
  • 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 NAACL-HLT 2019   [Paper]  
  • Learning to Decipher Hate Symbols Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang NAACL-HLT 2019   [Paper]  
  • 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 NAACL-HLT 2019   [Paper]  
  • Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang AAAI 2019   [Paper]  
  • Quantifying Uncertainties in Natural Language Processing Tasks Yijun Xiao, William Yang Wang AAAI 2019   [Paper]  
  • One-Shot Relational Learning for Knowledge Graphs Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang EMNLP 2018   [Paper]  
  • Hierarchical CVAE for Fine-Grained Hate Speech Classification Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang EMNLP 2018   [Paper]  
  • Multi-view Models for Political Ideology Detection of News Articles Vivek Kulkarni, Junting Ye, Steve Skienam, William Yang Wang EMNLP 2018   [Paper]  
  • XL-NBT: A Cross-lingual Neural Belief Tracking Framework Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang EMNLP 2018   [Paper]