Diane J. Litman
|Office:||5105 Sennott Square|
Diane Litman received her A.B. degree in Mathematics and Computer Science from the College of William and Mary in Virginia in 1980, and her M.S. and Ph.D. degrees in Computer Science from the University of Rochester in 1982 and 1986, respectively.
Diane was previously a Principal Technical Staff Member in the Artificial Intelligence Principles Research Department, AT&T Labs - Research (formerly Bell Laboratories); from 1990-1992 Diane was also an Assistant Professor of Computer Science at Columbia University.
Diane's research is in the area of artificial intelligence, and includes contributions in the areas of computational linguistics, knowledge representation and reasoning, natural language learning, plan recognition, spoken language, and user modeling.
Five Most Recent Publications
F. Zhang, R. Hwa, D. Litman and H. Hashemi, "ArgRewrite: A Web-based Revision Assistant for Argumentative Writings," Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations (NAACL-HLT), pp. 37-41, San Diego, CA, 2016.
Z. Rahimi and D. Litman, "Automatically Extracting Topical Components for a Response-to-Text Writing Assessment," 11th Workshop on Innovative Use of NLP for Building Educational Applications (NAACL Workshop), pp. 277-282, San Diego, CA, 2016.
W. Luo, F. Liu, Z. L. and D. Litman, "Automatic Summarization of Student Course Feedback," Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies, pp. 80-85, San Diego, CA, 2016.
W. Luo and D. Litman, "Determining the Quality of a Student Reflective Response," 29th International FLAIRS Conference, pp. 226-231, Key Largo, FL, 2016, Best Student Paper Award Nominee .
D. Litman, "Natural Language Processing for Enhancing Teaching and Learning," 30th AAAI Conference on Artificial Intelligence (AAAI 2016), pp. 4170-4176, Phoenix, AZ, 2016.
- Artificial intelligence
- Computational linguistics
- Spoken language processing
- Artificial intelligence in education