I am a second year PhD student in the Computer Science Department at University of California, Irvine. I am advised by Dr. Sameer Singh.
My broad research interests include extracting semantic representations from natural language to improve reasoning in machines. My current research focuses on
two problems in reading comprehension.
Finding the right balance (in terms of number of instances, type of instances and granularity of representation) of supervision required by complex reasoning based reading comprehension datasets that
often require making latent decisions as they learn from weak supervision via denotations.
Leveraging multiple reading comprehension datasets to learn a unified model that can understand various natural language artifacts like predicate-argument structure,
coreference resolution, common-sense reasoning, simple arithmetic operations etc.