I am currently pursuing a Ph.D. in the Language Technologies Institute of the School of Computer Science at Carnegie Mellon University. As a Ph.D. candidate, I study theoretical foundations and practical algorithms to computationally approach the meaning of natural language, particularly event semantics. Specifically, I work on the areas of event detection, event coreference resolution, question answering, information retrieval, question generation, and computer-assisted language learning. I often explore theoretically-grounded combinations of machine-learnable models and knowledge resources for the natural language problems.


Research Interests

My research interests are in computational semantics, statistical natural language processing, and knowledge representation and reasoning. My general research questions are as follows:


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