
Eunsol Choi
Professor @ The University of Texas at Austin
question answering
data augmentation
fact-checking
interpretability
question generation
explanations
machine reading comprehension
calibration
natural questions
questing answering
information-seeking qa
tydi qa
dataset
claim decomposition
10
presentations
18
number of views
SHORT BIO
Eunsol Choi is an assistant professor in the computer science department at the University of Texas at Austin. Her research focuses on natural language processing, various ways to recover semantics from unstructured text. Prior to UT, she was a visiting faculty researcher at Google AI. She received a Ph.D. from the University of Washington (with Luke Zettlemoyer and Yejin Choi) and an undergraduate degree in mathematics and computer science from Cornell University. She is a recipient Facebook Research Fellowship, Google Research Award and has co-organized many workshops related to question answering at NLP and ML venues.
Presentations

Generating Literal and Implied Subquestions to Fact-check Complex Claims
Jifan Chen and 3 other authors

Learning with Different Amounts of Annotation: From Zero to Many Labels
Shujian Zhang and 2 other authors

Can NLI Models Verify QA Systems’ Predictions?
Jifan Chen and 2 other authors

Learning with Different Amounts of Annotation: From Zero to Many Labels
Shujian Zhang and 2 other authors

Can NLI Models Verify QA Systems' Predictions?
Jifan Chen and 2 other authors

Knowing More About Questions Can Help: Improving Calibration in Question Answering
Shujian Zhang and 2 other authors

QED: A Framework and Dataset for Explanations in Question Answering
Matthew Lamm and 6 other authors

Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval
Akari Asai and 1 other author

Decontextualization: Making Sentences Stand-Alone
Eunsol Choi and 5 other authors

XOR QA: Cross-lingual Open-Retrieval Question Answering
Akari Asai and 5 other authors