Lillian Lee (computer scientist)

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Lillian Lee
Alma materHarvard University
Awards
Scientific career
InstitutionsCornell
ThesisSimilarity-Based Approaches to Natural Language Processing (1997)
Doctoral advisorStuart 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[edit]

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[edit]

Lee has been a member of the Cornell faculty since 1997.[1]

Recognition[edit]

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[edit]

  1. ^ a b Lillian Lee, Professor, Cornell Engineering, retrieved 2018-12-05
  2. ^ "Editorial team", Transactions of the Association for Computational Linguistics, retrieved 2018-12-05
  3. ^ a b LaRocca, David (2021-11-04). "Lillian Lee receives 2021 Association for Computational Linguistics Distinguished Service Award". Cornell Chronicle. Retrieved 2022-06-06.
  4. ^ Lillian Lee at the Mathematics Genealogy Project
  5. ^ Elected AAAI Fellows, Association for the Advancement of Artificial Intelligence, retrieved 2018-12-05
  6. ^ ACL Fellows 2017, Association for Computational Linguistics, retrieved 2018-12-05
  7. ^ 2018 ACM Fellows Honored for Pivotal Achievements that Underpin the Digital Age, Association for Computing Machinery, December 5, 2018

External links[edit]