Kevin Clark

Hi! I'm a fourth year 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 is on applying semi-supervised and multi-task learning to NLP. I am supported by a Google PhD Fellowship in Natural Language Processing.

Email:

Code: github

CV: pdf

Publications

  • Deep Reinforcement Learning for Mention-Ranking Coreference Models.
    Kevin Clark and Christopher D. Manning.
    Empirical Methods on 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 on 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.
    IMIA Best Paper Award 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]