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Photo credit:
Bruce Hemingway




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Yejin Choi

Brett Helsel Associate Professor
Office: 578 Allen Center
Fax: 206-685-2969
email: yejin@cs.washington.edu

    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


News:

- Endowed with the Brett Helsel Career Development Professorship (2020 - 2023)
- Won the AAAI Outstanding Paper Award 2020
- Featured by Quanta Magazine --- 🤖"Common Sense Comes Closer to Computers"🤖
- 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 (2018 - 2020):

Jan 2021 Teaching at the ALPS Winter School
Dec 2020 Keynote at the Neurips Workshop on Self-Supervised Learning -- Theory and Practice
Dec 2020 Keynote at the Neurips Workshop on Dataset Curation and Security
Nov 2020 Talk at the AAAI Fall Symposium on Abstraction and Analogy
Nov 2020 Talk at MIT CSAIL Embodied Intelligence
Oct 2020 Keynote at the Fall Stanford Human-Centered AI (HAI) Conference on Triangulating Intelligence: Melding Neuroscience, Psychology, and AI
Oct 2020 Keynote at the Amazon ML Conference 2020
Oct 2020 Distinguished Lecture at Columbia University
Oct 2020 Colloquium at CMU LTI
Oct 2020 Colloquium at University of Maryland CLIP
Oct 2020 Talk at Amazon AI
Sep 2020 Talk at SNU Data Science
Aug 2020 Talk at the ECCV Workshop on Video Turing Test (VTT): Toward Human-Level Video Story Understanding
Aug 2020 Talk at CIFAR Deep Learning Seminar Summer School
Jul 2020 ACL Tutorial on Commonsense with a recorded talk here!
Jul 2020 Keynote at the ACL Workshop on Multimodal Language
Jul 2020 Talk at the ACL Workshop on Fact Extraction and Verification (FEVER) with a recorded talk here!
Jun 2020 CVPR tutorial on Neuro-Symbolic Visual Reasoning and Program Synthesis with a recorded talk here!
Jun 2020 Keynote at the Workshop on Symbolic-Neural Learning (SNL-2020) --- cancelled until 2021
Apr 2020 Panel at the ICLR Workshop on Bridging Cognitive Science and AI (BAICS)
Feb 2020 Talk at the AAAI Workshop on Statistical Relational AI (StarAI)
Dec 2019 Talk at the Neurips Workshop on KR2ML - Knowledge Representation and Reasoning Meets Machine Learning
Dec 2019 Talk at the Neurips Workshop on Learning with Rich Experience: Integration of Learning Paradigms
Nov 2019 Keynote at the Natural Language, Dialog and Speech (NDS) Symposium @ the New York Academy of Sciences
Nov 2019 Talk at the EMNLP Workshop on COmmonsense INference in NLP (COIN)
Nov 2019 Talk at the ICCV Workshop on Extreme Vision Modeling
Nov 2019 Talk at the ICCV Workshop on Scene Graph Representation and Learning
Nov 2019 Talk at the ICCV Workshop on Closing the Loop Between Vision and Language (CLVL)
Oct 2019 Talk at UIUC   +   TTIC   +   Northwestern
Aug 2019 Talk at the 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 the 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 the ACL Workshop on Representation Learning for NLP
July 2018 Talk at LxMLS Lisbon Machine Learning School
Jun 2018 Talk at the CVPR Workshop on Visual Question Answering
Jun 2018 Talk at the 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

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:

xlab:

Short Bio:

    Yejin Choi is an associate professor of Paul G. Allen School of Computer Science & Engineering at the University of Washington with the Brett Helsel Career Development Professorship, 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 overseeing the project Mosaic on Commonsense Intelligence. She is a co-recepient of the AAAI Outstanding Paper Award in 2020, 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 and BS in Computer Science and Engineering at Seoul National University in Korea.

Personal:

    Scuba!