Diane Litman

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Marilyn WalkerProfessor of Computer Science and Engineering, University of California Santa CruzAdresse e-mail validée de ucsc.edu
Julia HirschbergColumbia UniversityAdresse e-mail validée de cs.columbia.edu
Mihai RotaruTextkernelAdresse e-mail validée de textkernel.nl
Richard CorrentiAssociate Professor and Research Scientist, University of Pittsburgh and Learning Research and Development CenterAdresse e-mail validée de pitt.edu
Kurt VanLehnProfessor of Computer Science, Arizona State UniversityAdresse e-mail validée de asu.edu
Marc SwertsProfessor Communication and Information Science, Tilburg UniversityAdresse e-mail validée de uvt.nl
Lindsay Clare MatsumuraProfessor, University of PittsburghAdresse e-mail validée de pitt.edu
Rebecca J. PassonneauDepartment of Computer Science and Engineering, Penn StateAdresse e-mail validée de cse.psu.edu
Elaine WangPolicy Researcher, RAND CorporationAdresse e-mail validée de rand.org
Pamela JordanUniversity of PittsburghAdresse e-mail validée de pitt.edu
Michael KearnsProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Wenting XiongFacebookAdresse e-mail validée de fb.com
Satinder SinghGoogle DeepMind / U. of MichiganAdresse e-mail validée de umich.edu
James AllenRochesterAdresse e-mail validée de cs.rochester.edu
Zahra RahimiScientist at AmazonAdresse e-mail validée de pitt.edu
Joel R TetreaultDataminrAdresse e-mail validée de dataminr.com
Haoran ZhangMeta Platforms, Inc.Adresse e-mail validée de meta.com
Wencan LuoGoogle Inc.Adresse e-mail validée de cs.pitt.edu
Rebecca HwaComputer Science, The George Washington UniversityAdresse e-mail validée de gwu.edu
Min ChiDepartment of Computer Science, North Carolina State UniversityAdresse e-mail validée de ncsu.edu

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Diane Litman

University of Pittsburgh

Adresse e-mail validée de cs.pitt.edu - Page d'accueil

Natural Language Processing Computational Linguistics Artificial Intelligence in Education Intelligent Tutoring Systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
PARADISE: A framework for evaluating spoken dialogue agents MA Walker, DJ Litman, CA Kamm, A Abella arXiv preprint cmp-lg/9704004, 1997	1081	1997
A plan recognition model for subdialogues in conversations DJ Litman, JF Allen Cognitive science 11 (2), 163-200, 1987	685	1987
Optimizing dialogue management with reinforcement learning: Experiments with the NJFun system S Singh, D Litman, M Kearns, M Walker Journal of Artificial Intelligence Research 16, 105-133, 2002	515	2002
Empirical studies on the disambiguation of cue phrases J Hirschberg, D Litman Computational linguistics 19 (3), 501-530, 1993	476	1993
Readings in intelligent user interfaces M Maybury, W Wahlster Morgan Kaufmann, 1998	423	1998
Towards developing general models of usability with PARADISE M Walker, C Kamm, D Litman Natural Language Engineering 6 (3-4), 363-377, 2000	354	2000
ITSPOKE: An intelligent tutoring spoken dialogue system D Litman, S Silliman Demonstration papers at HLT-NAACL 2004, 5-8, 2004	334	2004
Discourse segmentation by human and automated means RJ Passonneau, D Litman Computational Linguistics 23 (1), 103-139, 1997	325	1997
Reinforcement learning for spoken dialogue systems S Singh, M Kearns, D Litman, M Walker Advances in neural information processing systems 12, 1999	298	1999
Predicting student emotions in computer-human tutoring dialogues D Litman, K Forbes-Riley Proceedings of the 42nd annual meeting of the association for computational …, 2004	274	2004
Designing and evaluating an adaptive spoken dialogue system DJ Litman, S Pan User Modeling and User-Adapted Interaction 12, 111-137, 2002	240	2002
Discourse processing and commonsense plans DJ Litman, JF Allen	237	1990
Evaluating spoken dialogue agents with PARADISE: Two case studies MA Walker, DJ Litman, CA Kamm, A Abella Computer Speech & Language 12 (4), 317-347, 1998	224	1998
Intention-based segmentation: Human reliability and correlation with linguistic cues RJ Passonneau, DJ Litman arXiv preprint cmp-lg/9405015, 1994	212	1994
Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies M Chi, K VanLehn, D Litman, P Jordan User Modeling and User-Adapted Interaction 21, 137-180, 2011	186	2011
Combining multiple knowledge sources for discourse segmentation DJ Litman, RJ Passonneau arXiv preprint cmp-lg/9505025, 1995	172	1995
Learning to predict problematic situations in a spoken dialogue system: experiments with how may i help you? M Walker, I Langkilde, J Wright, AL Gorin, D Litman 1st Meeting of the North American Chapter of the Association for …, 2000	164	2000
Recognizing student emotions and attitudes on the basis of utterances in spoken tutoring dialogues with both human and computer tutors DJ Litman, K Forbes-Riley Speech communication 48 (5), 559-590, 2006	162	2006
Now let’s Talk About Now; Identifying Cue Phrases Intonationally J Hirschberg, D Litman 25th Annual Meeting of the Association for Computational Linguistics, 163-171, 1987	160	1987
Combining Low-Level and Summary Representations of Opinions for Multi-Perspective Question Answering. C Cardie, J Wiebe, T Wilson, DJ Litman New directions in question answering, 20-27, 2003	156	2003

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