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

• Explainable Inference: Design explanation-centered methods for decision making.
• Common-sense Knowledge: Developing methods for extracting and organizing common-sense knowledge about events.
• Question Answering: Developing methods for extracting and reasoning with information expressed in natural language.
• People-centered language processing: Understanding language by modeling the people behind the language.
• Systems --> NLP: Privacy focused NLP solutions that can run on commodity personal user devices. 
• NLP --> Systems: Using NLP solutions for assisting translation of natural language specifications to formal verifiable models.