Yejin Choi
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. Choi was awarded a MacArthur Fellowship in 2022.
Yejin Choi | |
---|---|
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) |
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. arXiv:1107.4557.
- 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.
- 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: 355–362. doi:10.3115/1220575.1220620.
References
- "University of Washington computer science professor Yejin Choi wins $800K 'genius grant' – GeekWire".
- "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.
- Snyder, Alison (15 March 2018). "Trying to give AI some common sense". Axios. Retrieved 2020-10-01.
- "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 2020-10-01.
- "Anita Borg Award (BECA) - CRA-WP". Retrieved 2020-10-01.
- 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.
- Blair, Elizabeth (12 October 2022). "An ornithologist, a cellist and a human rights activist: the 2022 MacArthur Fellows". npr.org. Retrieved 2022-10-12.