Eunsol Choi

I study natural language processing, focusing on extracting and querying information about entities from text. More broadly, my research covers machine learning and computational social science. My advisors at the UW are Luke Zettlemoyer and Yejin Choi. Prior to UW, I worked with Lillian Lee at Cornell.

News

(06/18/20) We are organizing a NeurIPS competition on efficient question answering EfficientQA.
(7/18/19) I will be starting as an assistant professor at the CS department at UT Austin starting Fall 2020, after a year at Google Research NYC.

Publications (* equal contribution)

TYDI QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages, TACL 2020

Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki

[Leaderboard / Website] [Code / Data Repo]

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension, EMNLP 2019 workshop proceedings

Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, and Danqi Chen

Pair2Vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference, NAACL 2019 long

Mandar Joshi, Eunsol Choi, Omer Levy, Dan Weld and Luke Zettlemoyer

No Permanent Friends or Enemies: Tracking Dynamic Relationships Between Nations from News, NAACL 2019 Long

Xiaochuang Han, Eunsol Choi, and Chenhao Tan

FlowQA: Grasping Flow in History For Conversational Machine Comprehension, ICLR 2019, poster

Hsin-Yuan Huang, Eunsol Choi and Wen-tau Yih

Neural Metaphor Detection in Context EMNLP 18 short

Ge Gao, Eunsol Choi, Yejin Choi and Luke Zettlemoyer

[Slides][Code]

QuAC : Question Answering in Context EMNLP 18 long

Eunsol Choi^*, He He^*, Mohit Iyyer^*, Mark Yatskar^*, Wen-tau Yih, Yejin Choi, Percy Liang and Luke Zettlemoyer

Project Page [Code / Data / Leaderboard / Poster]

Ultra-Fine Entity Typing ACL 18 long

Eunsol Choi, Omer Levy, Yejin Choi and Luke Zettlemoyer

Project Page [Code / Data / Slides]

Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking EMNLP 17 short

Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova and Yejin Choi

Project Page [Code / Data / Slides]

Zero-Shot Relation Extraction Via Reading Comprehension CoNLL 17 long

Omer Levy, Minjoon Seo, Eunsol Choi and Luke Zettlemoyer

Project Page [Code / Data/ Leaderboard]

Coarse-to-Fine Question Answering for Long Documents ACL 17 long

Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste and Jonathan Berant

[Slides]

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension ACL 17 long

Mandar Joshi, Eunsol Choi, Daniel Weld and Luke Zettlemoyer

Project Page [Code / Data / Leaderboard]

Document-level Sentiment Inference with Social, Faction, and Discourse Context ACL 16 long

Eunsol Choi, Hannah Rashkin, Yejin Choi and Luke Zettlemoyer

[Data]

Errata: In Section 5, the metric should be micro-averaged instead of macro-averaged. In Section 2.2, second equation should be . The current version here is fixed.