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.
Yejin Choi | |
|---|---|
최예진 | |
| Born | 1977 |
| Alma mater | Seoul National University (BS) Cornell University (PhD) |
| Awards | MacArthur Fellow (2022) |
| Scientific career | |
| Institutions | University of Washington Stony Brook University |
| Thesis | Fine-grained opinion analysis : structure-aware approaches (2010) |
| Korean name | |
| Hangul | 최예진 |
| Revised Romanization | Choe Yejin |
| McCune–Reischauer | Ch'oe Yechin |
| Website | Official website  |
Early life and education
editChoi 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
editIn 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] Choi is also a scientific advisor to French research group Kyutai which is being funded by Xavier Niel, Rodolphe Saadé, Eric Schmidt, and others.[11]
Awards and honours
edit- 2013 International Conference on Computer Vision Marr Prize[12][13]
- 2016 Institute of Electrical and Electronics Engineers AI One to Watch[12]
- 2017 Facebook ParlAI Research Award[14]
- 2018 Anita Borg Early Career Award[10]
- 2020 Association for the Advancement of Artificial Intelligence Outstanding Paper Award[15]
- 2021 Conference on Neural Information Processing Systems Outstanding Paper Award[16]
- 2021 Association for Computational Linguistics Test-of-time Paper Award[17]
- 2021 Conference on Computer Vision and Pattern Recognition Longuet-Higgins Prize[18]
- 2022 North American Chapter of the Association for Computational Linguistics Best Paper Award[19]
- 2022 International Conference on Machine Learning Outstanding Paper Award[20]
- 2022 MacArthur Fellowship[21]
- 2023 Association for Computational Linguistics Best Paper Award[22]
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- ^ "University of Washington computer science professor Yejin Choi wins $800K 'genius grant' – GeekWire". 12 October 2022.
- ^ "Yejin Choi". Stanford HAI. Retrieved 2020-10-01.
- ^ "Yejin Choi". www3.cs.stonybrook.edu. Retrieved 2020-10-02.
- ^ "Asian American: Yejin Choi Devises Method to Detect Fake Reviews Goldsea". goldsea.com. Retrieved 2020-10-02.
- ^ "Mosaic - People". mosaic.allenai.org. Retrieved 2020-10-01.
- ^ a b Snyder, Alison (15 March 2018). "Trying to give AI some common sense". Axios. Retrieved 2020-10-01.
- ^ a b c "Common Sense Comes to Computers". Quanta Magazine. 30 April 2020. Retrieved 2020-10-01.
- ^ "Endowment for Faculty Excellence | Paul G. Allen School of Computer Science & Engineering". www.cs.washington.edu. Retrieved 2024-03-08.
- ^ a b "The Wissner-Slivka Chair". Paul G. Allen School of Computer Science & Engineering. Retrieved 2024-02-11.
- ^ a b "Anita Borg Award (BECA) - CRA-WP". Archived from the original on 2020-12-18. Retrieved 2020-10-01.
- ^ Dillet, Romain (2023-11-17). "Kyutai is a French AI research lab with a $330 million budget that will make everything open source". TechCrunch. Retrieved 2024-06-16.
- ^ a b Zeng, Daniel. "AI's 10 to Watch" (PDF). IEEE. Retrieved 2020-10-01.
- ^ "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.
- ^ "Announcing the Winners of the Facebook ParlAI Research Awards". Facebook Research. 2017-10-18. Retrieved 2020-10-01.
- ^ "AAAI Outstanding Paper Award". aaai.org. Retrieved 2020-10-01.
- ^ "NeurIPS Outstanding Paper Award". blog.neurips.cc. Retrieved 2024-03-05.
- ^ "ACL Test-of-time Paper Award". aclweb.org. Retrieved 2024-03-05.
- ^ "CVPR Longuet-Higgins Prize". cvpr2021.thecvf.com. Retrieved 2024-03-05.
- ^ "NAACL Outstanding Paper Award". 2022.naacl.org. Retrieved 2024-03-05.
- ^ "ICML Outstanding Paper Award". icml.cc. Retrieved 2024-03-05.
- ^ Blair, Elizabeth (12 October 2022). "An ornithologist, a cellist and a human rights activist: the 2022 MacArthur Fellows". npr.org. Retrieved 2022-10-12.
- ^ "ACL Outstanding Paper Award". 2023.aclweb.org. Retrieved 2024-03-05.