Lillian Lee (computer scientist)

Last updated
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]

Contents

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. 1 2 Lillian Lee, Professor, Cornell Engineering, retrieved 2018-12-05
  2. ↑ "Editorial team", Transactions of the Association for Computational Linguistics, retrieved 2018-12-05
  3. 1 2 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
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