Lillian Lee (computer scientist) facts for kids
Quick facts for kids
Lillian Lee
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| Alma mater | Harvard University |
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| Scientific career | |
| Institutions | Cornell |
| Thesis | Similarity-Based Approaches to Natural Language Processing (1997) |
| Doctoral advisor | Stuart M. Shieber |
Lillian Lee is a super smart computer scientist. She studies how computers can understand human language. This field is called natural language processing. She also looks at how computers can figure out feelings from text, which is known as sentiment analysis. Another area she explores is computational social science. This means using computer methods to study how people interact online.
Professor Lee teaches at Cornell University. She is a professor of computer science and information science there. She also helps lead an important journal called Transactions of the Association for Computational Linguistics.
Contents
Learning and Growing
Her College Years
Lillian Lee went to Cornell University for her first degree. She graduated in 1993 with a degree in math and science. This means she studied numbers and how the world works.
Advanced Studies
After Cornell, she went to Harvard University. She earned her Ph.D. there in 1997. A Ph.D. is a very high degree you get after many years of study. Her special project was called Similarity-Based Approaches to Natural Language Processing. Her professor, Stuart M. Shieber, helped her with this important work.
Her Work Journey
Starting at Cornell
Lillian Lee joined the faculty at Cornell University in 1997. She has been teaching and doing research there ever since. She helps students learn about computers and language.
Special Awards and Honors
Top Recognitions
Lillian Lee has received many important awards for her work. These awards show that she is a leader in her field.
- In 2013, she became a fellow of the Association for the Advancement of Artificial Intelligence. This group recognizes top experts in artificial intelligence.
- In 2017, she was named a fellow of the Association for Computational Linguistics. This honor is for people who have made big contributions to how computers understand language.
- In 2018, she became an ACM Fellow. The ACM is a big group for computer professionals. She earned this award for her amazing work in natural language processing, sentiment analysis, and computational social science.
