About Me

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Yejin Cho / 조예진

I am currently a third-year PhD student in Computational Linguistics at the University of Texas at Austin, doing research with Dr. Katrin Erk.

I study natural language processing. More specifically, my research interests are in computational semantics and I’m interested in the question of how to better learn lexical or larger scope (e.g., event) semantics of natural language using computational methods. Recently, I have worked on graph-based hypernym prediction task in WordNet. Currently, I’m working as a research assistant for AIDA project supported by DARPA on coherent narrative learning from multi-narrative graphs.

Before coming to UT, I worked on phonetics along with automatic speech recognition (ASR) system and its language model. I was a member of EMCS Lab (led by Dr. Hosung Nam) at Korea University, which is an active interdisciplinary research team with focus on computational approaches on language.