Kevin Clark

Hi! I'm a Ph.D. student in computer science at Stanford University. I work in the Natural Language Processing Group and am advised by Chris Manning. My current research focuses on applying self-supervised, semi-supervised, and multi-task learning to NLP. I am supported by a Google PhD Fellowship in Natural Language Processing.

Email: kevclark(at)cs.stanford.edu
[(often out-of-date) CV] [github]

Publications

• Emergent linguistic structure in artificial neural networks trained by self-supervision
  Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, and Omer Levy
  Proceedings of the National Academy of Sciences, 2020.
  [paper] [bib]
• ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
  Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning.
  International Conference on Learning Representations (ICLR), 2020.
  [paper] [bib] [code]
• What Does BERT Look At? An Analysis of BERT's Attention.
  Kevin Clark, Urvashi Khandelwal, Omer Levy, and Christopher D. Manning.
  BlackBoxNLP@ACL, 2019, Best Paper Award
  [paper] [bib] [code]
• BAM! Born-Again Multi-Task Networks for Natural Language Understanding.
  Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, and Quoc V. Le.
  Association for Computational Linguistics (ACL), 2019.
  [paper] [bib] [code]
• Semi-Supervised Sequence Modeling with Cross-View Training.
  Kevin Clark, Minh-Thang Luong, Christopher D. Manning, and Quoc V. Le.
  Empirical Methods in Natural Language Processing (EMNLP), 2018.
  [paper] [bib] [code]
• Deep Reinforcement Learning for Mention-Ranking Coreference Models.
  Kevin Clark and Christopher D. Manning.
  Empirical Methods in Natural Language Processing (EMNLP), 2016.
  [paper] [bib] [code]
• Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
  William L. Hamilton, Kevin Clark, Jure Leskovec, and Dan Jurafsky.
  Empirical Methods in Natural Language Processing (EMNLP), 2016.
  [paper] [bib] [project website (code + data)]
• Improving Coreference Resolution by Learning Entity-Level Distributed Representations.
  Kevin Clark and Christopher D. Manning.
  Association for Computational Linguistics (ACL), 2016.
  [paper] [bib] [code]
• Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health
  Tim Althoff*, Kevin Clark*, and Jure Leskovec.
  Transactions of the Association for Computational Linguistics (TACL), 2016.
  [paper] [bib] [project website] [dataset]
      *equal contribution
  
• Entity-Centric Coreference Resolution with Model Stacking.
  Kevin Clark and Christopher D. Manning.
  Association for Computational Linguistics (ACL), 2015.
  [paper] [bib] [code]
• RevMiner: an Extractive Interface for Navigating Reviews on a Smartphone.
  Jeff Huang, Oren Etzioni, Luke Zettlemoyer, Kevin Clark, and Christian Lee.
  User Interface Software and Technology (UIST), 2012.
  [paper] [bib]