Lillian Lee | |
---|---|
Alma mater | Harvard University |
Awards |
|
Scientific career | |
Institutions | Cornell |
Thesis | Similarity-Based Approaches to Natural Language Processing (1997) |
Doctoral advisor | Stuart M. Shieber |
Lillian Lee is a computer scientist whose research involves natural language processing, sentiment analysis, and computational social science. She is a professor of computer science and information science at Cornell University,[1] and co-editor-in-chief of the journal Transactions of the Association for Computational Linguistics.[2]
Education
Lee graduated from Cornell University in 1993 with an undergraduate degree in math and science.[3] She completed her Ph.D. at Harvard University in 1997.[3] Her dissertation, Similarity-Based Approaches to Natural Language Processing, was supervised by Stuart M. Shieber.[4]
Career
Lee has been a member of the Cornell faculty since 1997.[1]
Recognition
Lee has been a fellow of the Association for the Advancement of Artificial Intelligence since 2013,[5] and of the Association for Computational Linguistics since 2017.[6] Lee was elected as an ACM Fellow in 2018 for "contributions to natural language processing, sentiment analysis, and computational social science".[7]
References
- 1 2 Lillian Lee, Professor, Cornell Engineering, retrieved 2018-12-05
- ↑ "Editorial team", Transactions of the Association for Computational Linguistics, retrieved 2018-12-05
- 1 2 LaRocca, David (2021-11-04). "Lillian Lee receives 2021 Association for Computational Linguistics Distinguished Service Award". Cornell Chronicle. Retrieved 2022-06-06.
- ↑ Lillian Lee at the Mathematics Genealogy Project
- ↑ Elected AAAI Fellows, Association for the Advancement of Artificial Intelligence, retrieved 2018-12-05
- ↑ ACL Fellows 2017, Association for Computational Linguistics, retrieved 2018-12-05
- ↑ 2018 ACM Fellows Honored for Pivotal Achievements that Underpin the Digital Age, Association for Computing Machinery, December 5, 2018
External links
- Home page
- Lillian Lee publications indexed by Google Scholar