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.
FlowQA: Grasping Flow in History For Conversational Machine Comprehension, ICLR 2019
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Publications (* equal contribution)
Neural Metaphor Detection in Context EMNLP 18 short
QuAC : Question Answering in Context EMNLP 18 long
Ultra-Fine Entity Typing ACL 18 long
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking EMNLP 17 short
Zero-Shot Relation Extraction Via Reading Comprehension CoNLL 17 long
Coarse-to-Fine Question Answering for Long Documents ACL 17 long
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension ACL 17 long
Document-level Sentiment Inference with Social, Faction, and Discourse Context ACL 16 long
Extracting Structured Scholarly Information from Machine Translation Literature LREC 16 long
Eunsol Choi, Hannah Rashkin, Yejin Choi and Luke Zettlemoyer
Scalable Semantic Parsing With Partial Ontologies ACL 15 long
Scaling Semantic Parsers with On-the-Fly Ontology Matching EMNLP 13 long
Hedge detection as a lense on framing in the GMO debates: A position paper ACL 12 workshop
Eunsol Choi*, Matic Horvat *, Jonathan May, Kevin Knight, Daniel Marcu
How to pronounce 'Eunsol'?
Korean version:  Easier version: 
My name means soft, persistent love in ancient Korean.