Biography:Yejin Choi
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) |
| Website | No URL found. Please specify a URL here or add one to Wikidata. |
Yejin Choi (born 1977)[1] is the Brett Helsel Professor of Computer Science at the University of Washington. Her research considers natural language processing and computer vision.
Early life and education
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
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.[8] 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.[9] For example, one study demonstrated that female film characters are portrayed as less powerful than their male counterparts.[6]
Awards and honours
- 2013 International Conference on Computer Vision Marr Prize[10][11]
- 2016 Institute of Electrical and Electronics Engineers AI One to Watch[10]
- 2017 Facebook ParlAI Research Award[12]
- 2018 Anita Borg Early Career Award[9]
- 2020 Association for the Advancement of Artificial Intelligence Outstanding Paper Award[13]
- 2022 MacArthur Fellowship[14]
Select publications
- 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. ISBN 9781932432879. Bibcode: 2011arXiv1107.4557O. https://www.aclweb.org/anthology/P11-1032.
- 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. doi:10.1109/TPAMI.2012.162. ISSN 1939-3539. PMID 22848128. https://ieeexplore.ieee.org/document/6522402.
- 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. https://aclanthology.org/H05-1045.
References
- ↑ "University of Washington computer science professor Yejin Choi wins $800K 'genius grant' – GeekWire". 12 October 2022. https://www.geekwire.com/2022/university-of-washington-computer-science-professor-yejin-choi-wins-800k-genius-grant/.
- ↑ "Yejin Choi" (in en). https://hai.stanford.edu/people/yejin-choi.
- ↑ "Yejin Choi". https://www3.cs.stonybrook.edu/~ychoi/papersbytopic.html.
- ↑ "Asian American: Yejin Choi Devises Method to Detect Fake Reviews Goldsea". http://goldsea.com/Text/index.php?id=13186.
- ↑ "Mosaic - People". https://mosaic.allenai.org/people.
- ↑ 6.0 6.1 Snyder, Alison (15 March 2018). "Trying to give AI some common sense" (in en). https://www.axios.com/the-quest-to-give-ai-some-common-sense-1521085175-25824f2a-b019-4223-9288-e7810704fd08.html.
- ↑ 7.0 7.1 7.2 "Common Sense Comes to Computers" (in en). 30 April 2020. https://www.quantamagazine.org/common-sense-comes-to-computers-20200430/.
- ↑ "Endowment for Faculty Excellence | Paul G. Allen School of Computer Science & Engineering". https://www.cs.washington.edu/supportcse/faculty.
- ↑ 9.0 9.1 "Anita Borg Award (BECA) - CRA-WP" (in en-US). https://cra.org/cra-wp/scholarships-and-awards/awards/beca-award-program/.
- ↑ 10.0 10.1 Zeng, Daniel. "AI's 10 to Watch". https://homes.cs.washington.edu/~yejin/Papers/IEEE-AI-10-to-Watch.pdf.
- ↑ "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". https://www.cs.cornell.edu/information/news/newsitem787/yejin-choi-cornell-cs-phd-10-won-marr-prize-her-paper-large-scale-image.
- ↑ "Announcing the Winners of the Facebook ParlAI Research Awards" (in en-US). 2017-10-18. https://research.fb.com/blog/2017/10/announcing-the-winners-of-the-facebook-parlai-research-awards/.
- ↑ "AAAI Outstanding Paper Award". https://aaai.org/Awards/paper.php.
- ↑ Blair, Elizabeth (12 October 2022). "An ornithologist, a cellist and a human rights activist: the 2022 MacArthur Fellows". https://www.npr.org/2022/10/12/1128352140/2022-macarthur-fellows-genius-grants.
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