Hannah YoungEun An

URCS graduate student

About Me

I’m a second-year PhD student at the University of Rochester in Computer Science. My research is in Natural Language Understanding and/or Computatinal Linguistics, with a focus on building ontologies and mining commonsense knowledge. Specifically, I work on building commonsense knowledge with a deep semantic lexicon and automating inference rule extraction with James Allen, and organizing world knowledge into schemas to reflect the relational understanding between entities as well as between knowledge and action with Len Schubert.

In the past, I was involved in FACTS.lab’s MegaAttitude Project for building lexicon-scale datasets from crowdsourcing and studying the semantic contribution of lexical items and syntactic structures.



James Allen, Hannah An, Rikwik Bose, Will de Beaumont, and Choh Man Teng. (2020). A Broad-Coverage Deep Semantic Lexicon for Verbs. In Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020), pages 3243–3251. European Language Resources Association.

Hannah Y. An and Aaron S. White. (2020). The lexical and grammatical sources of neg-raising inferences. In Proceedings of the Society for Computation in Linguistics (SCiL 2020), 3(23), pages 220-233.


Teaching Assistant

Fall 2020

CSC 442: Introduction to Artificial Intelligence

Teaching Assistant

Spring 2020

CSC 247/447: Natural Language Processing

Teaching Assistant

Fall 2018

LIN 110: Introduction to Linguistic Analysis


University of Rochester

PhD Computer Science

2019 - current

Area of specialization: Artificial Intelligence

University of Rochester

MS Computational Linguistics

2017 - 2019

Final project ‘Neg-raising inference and its syntactic contexts’ supervised by Aaron Steven White

University of Washington

BA Linguistics

2012 - 2017

Honors thesis ‘Characteristic determiners vs. adjectives in Korean’ supervised by Toshiyuki Ogihara

University of Washington

BS Applied and Computational Mathematical Sciences

2012 - 2017

Specialization in Scientific Computing and Numerical Algorithms