Yejin Choi

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In this Korean name, the family name is Choi.
Yejin Choi
최예진
Born1977
South Korea
Alma materSeoul National University (BS)
Cornell University (PhD)
AwardsMacArthur Fellow (2022)
Scientific career
InstitutionsUniversity of Washington
Stony Brook University
ThesisFine-grained opinion analysis : structure-aware approaches (2010)
Korean name
Hangul
최예진
Revised RomanizationChoe Yejin
McCune–ReischauerCh'oe Yechin
WebsiteOfficial website Edit this at Wikidata

Yejin Choi (Korean: 최예진; born 1977)[1] is Wissner-Slivka Chair of Computer Science at the University of Washington. Her research considers natural language processing and computer vision.

Early life and education[edit]

Choi is from South Korea. She attended Seoul National University.[2] After earning a bachelor's degree in Computer Science, Choi moved to the United States, where she joined Cornell University as a graduate student. There she worked with Claire Cardie on natural language processing. After earning her doctorate, Choi joined Stony Brook University as an Assistant Professor of Computer Science.[3] At Stony Brook University Choi developed a statistical technique to identify fake hotel reviews.[4]

Research and career[edit]

In 2018 Choi joined the Allen Institute for AI.[5] Her research looks to endow computers with a statistical understanding of written language.[6] She became interested in neural networks and their application in artificial intelligence. She started to assemble a knowledge base that became known as the atlas of machine commonsense (ATOMIC). By the time she had finished the creation of ATOMIC, the language model generative Pre-trained Transformer 2 (GPT-2) had been released.[7] ATOMIC does not make use of linguistic rules, but combines the representations of different languages within a neural network.[7]

In 2020, Choi was endowed with the Brett Helsel Professorship, which she held until her became Chair of Computer Science in 2023.[8][9] She has since made use of Commonsense Transformers (COMET) with Good old fashioned artificial intelligence (GOFAI). The approach combines symbolic reasoning and neural networks.[7] She has developed computational models that can detect biases in language that work against people from underrepresented groups.[10] For example, one study demonstrated that female film characters are portrayed as less powerful than their male counterparts.[6]

In 2023, Choi became The Wissner-Slivka Chair of Computer Science.[9]

Awards and honours[edit]

Select publications[edit]

  • Ott, Myle; Choi, Yejin; Cardie, Claire; Hancock, Jeffrey T. (2011). "Finding Deceptive Opinion Spam by Any Stretch of the Imagination". Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. Portland, Oregon, USA: Association for Computational Linguistics: 309–319. arXiv:1107.4557. Bibcode:2011arXiv1107.4557O. ISBN 9781932432879. S2CID 2510724.
  • Kulkarni, Girish; Premraj, Visruth; Ordonez, Vicente; Dhar, Sagnik; Li, Siming; Choi, Yejin; Berg, Alexander C.; Berg, Tamara L. (2013). "BabyTalk: Understanding and Generating Simple Image Descriptions". IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (12): 2891–2903. CiteSeerX 10.1.1.225.5228. doi:10.1109/TPAMI.2012.162. ISSN 1939-3539. PMID 22848128.
  • Choi, Yejin; Cardie, Claire; Riloff, Ellen; Patwardhan, Siddharth (2005). "Identifying sources of opinions with conditional random fields and extraction patterns". Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05. Morristown, NJ, USA: Association for Computational Linguistics. pp. 355–362. doi:10.3115/1220575.1220620.

References[edit]

  1. ^ "University of Washington computer science professor Yejin Choi wins $800K 'genius grant' – GeekWire". 12 October 2022.
  2. ^ "Yejin Choi". Stanford HAI. Retrieved 2020-10-01.
  3. ^ "Yejin Choi". www3.cs.stonybrook.edu. Retrieved 2020-10-02.
  4. ^ "Asian American: Yejin Choi Devises Method to Detect Fake Reviews Goldsea". goldsea.com. Retrieved 2020-10-02.
  5. ^ "Mosaic - People". mosaic.allenai.org. Retrieved 2020-10-01.
  6. ^ a b Snyder, Alison (15 March 2018). "Trying to give AI some common sense". Axios. Retrieved 2020-10-01.
  7. ^ a b c "Common Sense Comes to Computers". Quanta Magazine. 30 April 2020. Retrieved 2020-10-01.
  8. ^ "Endowment for Faculty Excellence | Paul G. Allen School of Computer Science & Engineering". www.cs.washington.edu. Retrieved 2024-03-08.
  9. ^ a b "The Wissner-Slivka Chair". Paul G. Allen School of Computer Science & Engineering. Retrieved 2024-02-11.
  10. ^ a b "Anita Borg Award (BECA) - CRA-WP". Retrieved 2020-10-01.
  11. ^ a b Zeng, Daniel. "AI's 10 to Watch" (PDF). IEEE. Retrieved 2020-10-01.
  12. ^ "Yejin Choi (Cornell CS PhD '10) won the Marr Prize for her paper "From Large Scale Image Categorization to Entry-Level Categories" | Department of Computer Science". www.cs.cornell.edu. Retrieved 2020-10-01.
  13. ^ "Announcing the Winners of the Facebook ParlAI Research Awards". Facebook Research. 2017-10-18. Retrieved 2020-10-01.
  14. ^ "AAAI Outstanding Paper Award". aaai.org. Retrieved 2020-10-01.
  15. ^ "NeurIPS Outstanding Paper Award". blog.neurips.cc. Retrieved 2024-03-05.
  16. ^ "ACL Test-of-time Paper Award". aclweb.org. Retrieved 2024-03-05.
  17. ^ "CVPR Longuet-Higgins Prize". cvpr2021.thecvf.com. Retrieved 2024-03-05.
  18. ^ "NAACL Outstanding Paper Award". 2022.naacl.org. Retrieved 2024-03-05.
  19. ^ "ICML Outstanding Paper Award". icml.cc. Retrieved 2024-03-05.
  20. ^ Blair, Elizabeth (12 October 2022). "An ornithologist, a cellist and a human rights activist: the 2022 MacArthur Fellows". npr.org. Retrieved 2022-10-12.
  21. ^ "ACL Outstanding Paper Award". 2023.aclweb.org. Retrieved 2024-03-05.
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