Photo credit:
Bruce Hemingway


Yejin Choi

Associate Professor
Office: 578 Allen Center
Fax: 206-685-2969

    Paul G. Allen School of Computer Science & Engineering
    University of Washington
    Box 352350
    Seattle, WA 98195-2350
    Allen Institute for Artificial Intelligence
    2157 N Northlake Way, Suite 110
    Seattle, WA 98103


- Our UW Sounding Board team is the winnner of the Alexa Prize!
- Our UW team (with Pooja, Max, Ari) won the Facebook ParlAI award!
- I'm serving as:
   an associate editor for JAIR,
   an editor for Computational Linguistics,
   a senior area chair for EMNLP 2018,
   an area chair for ICLR 2019, ACL 2020
   and as a PC member for EMNLP, CVPR, ICLR, NIPS, CoNLL, RoboNLP, WiNLP, and JNLE.
- Named among ``IEEE AI's 10 to Watch'', selected by the IEEE Intelligent Systems once every two years.
- A recepient of Borg Early Career Award (BECA).

Recent Talks:

Jun 2020 Keynote at Workshop on Symbolic-Neural Learning (SNL-2020)
Apr 2020 Talk at ICLR Workshop on Bridging Cognitive Science and AI (BAICS)
Apr 2020 Keynote at the Spring Stanford Human-Centered AI (HAI) Conference on Triangulating Intelligence: Melding Neuroscience, Psychology, and AI
Feb 2020 Talk at AAAI Workshop on Statistical Relational AI (StarAI)
Dec 2019 Talk at Neurips Workshop on KR2ML - Knowledge Representation and Reasoning Meets Machine Learning
Dec 2019 Talk at Neurips Workshop on Learning with Rich Experience: Integration of Learning Paradigms
Nov 2019 Keynote at Natural Language, Dialog and Speech (NDS) Symposium @ the New York Academy of Sciences
Nov 2019 Talk at EMNLP Workshop on COmmonsense INference in NLP (COIN)
Nov 2019 Talk at ICCV Workshop on Extreme Vision Modeling
Nov 2019 Talk at ICCV Workshop on Scene Graph Representation and Learning
Nov 2019 Talk at ICCV Workshop on Closing the Loop Between Vision and Language (CLVL)
Oct 2019 Talk at UIUC   +   TTIC   +   Northwestern
Aug 2019 Talk at ACL Workshop on Conversational AI (ConvAI): "The Curious Case of Neural Conversation Degeneration"
July 2019 Panel at MSR Faculty Summit on the Future of Work   +   Keynote at KCCV
Jun 2019 Talk at NAACL Workshop onNeuralGen : "The Enigma of Neural Text Degeneration as the First Defense to Neural Fake News."
May 2019 Keynote at AKBC   +   Elemental Cognition   +   IBM Research: "From Atomic to Comet: Commonsense AKBC."
July 2018 Talk at ACL Workshop on Representation Learning for NLP
July 2018 Talk at LxMLS Lisbon Machine Learning School
Jun 2018 Talk at CVPR Workshop on Visual Question Answering
Jun 2018 Talk at NAACL Workshop on Generalization in Deep Learning: ``Why NLU Doesn't Generalize Well to NLG.''
Apr 2018 Talk at NW-NLP: video available here
Feb 2018 Talk at AAAI
Dec 2017 Talk at PNNL
Nov 2017 Talk at CMU   +   AAAI Symposium on Natural Communication for Human-Robot Collaboration
Oct 2017 Talk at TTIC   +   Facebook   +   Colorado
Sep 2017 Talk & Panel at RepEval at EMNLP 2017   +   Samsung AI Summit
Aug 2017 Keynote at *SEM/SemEval at ACL 2017
Jul 2017 Talk at Cornell Tech/NYU/Columbia
May 2017 Talk at Stanford Linguistics
Mar 2017 Talk at Berkeley Simons Workshop on Representation Learning
Feb 2017 Talk at Michigan   +   MSR
Dec 2016 Talk at ISI/USC   +   Amazon
Nov 2016 Talk at Harvard, Talk & Panel at Uphill Battles in NLP @ EMNLP'16   +   Structured Prediction for NLP @ EMNLP'16
Oct 2016 Talk at Johns Hopkins   +   Seoul National University   +   Samsung
Sep 2016 Talk at Edinburgh   +   Cornell   +   Keynote at International Natural Language Generation conference (INLG) 2016
Aug 2016 Keynote at Vision and Language Workshop (VL'16)
Jul 2016 Talk at International Joint Conference on Artificial Intelligence (IJCAI) -- Early Career Spotlight Track

Research Interests:

My primary research interests are in the fields of Natural Language Processing, Machine Learning, Artificial Intelligence, with broader interests in Computer Vision and Digital Humanities.

Language and X ∈ {vision, knowledge, world, mind, society...} : Intelligent communication requires the ability to read between the lines and to reason beyond what is said explicitly. My recent research has been under two broad themes: (i) learning the contextual, grounded meaning of language from various contexts in which language is used — both physical (e.g., visual) and abstract (e.g., social, cognitive), and (ii) learning the background knowledge about how the world works, latent in large-scale multimodal data. More specifically, my research interests include:

Recent Preprints:

Recent Peer-Reviewed Publications (2016 - 2020):

Selected Publications (2011 - 2015):

Full List of Publications:

Recent Teaching:


Short Bio:

    Yejin Choi is an associate professor of Paul G. Allen School of Computer Science & Engineering at the University of Washington, adjunct of the Linguistics department, and affiliate of the Center for Statistics and Social Sciences. She is also a senior research manager at the Allen Institute for Artificial Intelligence. She is a co-recepient of the Marr Prize (best paper award) at ICCV 2013, a recepient of Borg Early Career Award (BECA) in 2018, and named among IEEE AI's 10 to Watch in 2016. She received her Ph.D. in Computer Science at Cornell University (advisor: Prof. Claire Cardie) and BS in Computer Science and Engineering at Seoul National University in Korea.