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.


[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

  • TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang Vivek Kulkarni, William Yang Wang arXiv:1712.08291   [Paper]
  • Video Captioning via Hierarchical Reinforcement Learning Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang arXiv:1711.11135   [Paper]   [Data]  
  • MOJITALK: Generating Emotional Responses at Scale Xianda Zhou, William Yang Wang arXiv:1711.04090   [Paper]
  • KBGAN: Adversarial Learning for Knowledge Graph Embeddings Liwei Cai, William Yang Wang arXiv:1711.04071   [Paper]