We work on problems in natural language processing spanning three main research themes:

  • Developing methods for extracting and reasoning with information expressed in natural language.
  • People-centered language processing and generation methods using socio-demographic information.
  • Privacy focused NLP solutions that can run on commodity personal user devices. 



  • [June 2017] Paper on personalizing NLP accepted at EMNLP 2017.

  • [Jun 2017 ] Paper on RNNs for mobile devices at EMDL workshop in MobiSys 2017.

  • [Jan 2017] Paper on privacy-focused AI accepted at HotMobile 2017.

  • [Sep 2016] Paper on explanation-centered analysis of QA accepted at COLING 2016.

  • [July 2016] Teaching grad Artificial Intelligence in Fall 2016.

  • [July 2016] Paper on extracting process knowledge accepted at EMNLP 2016.

  • [Dec 2015] Teaching undergrad NLP [CSE 390] in Spring 2016.

  • [Aug 2015] Paper on process representations accepted at K-CAP Workshop.

  • [Aug 2015] Teaching Advanced Topics in Computational Linguistics in Fall 2015.

  • [Jul 2015] Paper on Markov Logic Networks for QA accepted at EMNLP 2015.