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.

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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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