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. 



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

  • [Jul 2015] Paper on Markov Logic Networks for Question Answer accepted at StarAI.

  • [Feb 2015] Paper on the 4th grade Question Answering won a best paper at AKBC in NIPS.