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
16
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