Diane J. Litman
Diane Litman is Professor of Computer Science, Senior Scientist with the Learning Research and Development Center, and Faculty Co-Director of the Graduate Program in Intelligent Systems, all at the University of Pittsburgh.
Previously she was a member of the Artificial Intelligence Principles Research Department, AT&T Labs – Research (formerly Bell Laboratories).
Dr. Litman’s current research focuses on enhancing the effectiveness of educational technology through the use of spoken and natural language processing techniques such as argument mining, summarization, and dialogue systems.
Dr. Litman is a Fellow of the Association for Computational Linguistics, has twice been elected Chair of the North American Chapter of the Association for Computational Linguistics, has co-authored multiple papers winning best paper awards, and has been awarded Senior Member status by the Association for the Advancement of Artificial Intelligence.
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.
Spoken language processing
Artificial intelligence in education