| Year |
Citation |
Score |
| 2020 |
Wang EL, Matsumura LC, Correnti R, Litman D, Zhang H, Howe E, Magooda A, Quintana R. eRevis(ing): Students' Revision of Text Evidence Use in an Automated Writing Evaluation System Assessing Writing. 44: 100449. DOI: 10.1016/J.Asw.2020.100449 |
0.359 |
|
| 2018 |
Litman D, Strik H, Lim GS. Speech Technologies and the Assessment of Second Language Speaking: Approaches, Challenges, and Opportunities Language Assessment Quarterly. 15: 294-309. DOI: 10.1080/15434303.2018.1472265 |
0.312 |
|
| 2014 |
Lipschultz M, Litman D, Katz S, Albacete P, Jordan P. Predicting semantic changes in abstraction in tutor responses to students International Journal of Learning Technology. 9: 281-303. DOI: 10.1504/Ijlt.2014.065753 |
0.396 |
|
| 2013 |
Forbes-Riley K, Litman D. When Does Disengagement Correlate with Performance in Spoken Dialog Computer Tutoring? International Journal of Artificial Intelligence in Education. 22: 39-58. DOI: 10.3233JAI-130028 |
0.34 |
|
| 2013 |
Ward A, Litman D. Using reflective text to improve qualitative physics tutoring The International Journal of Learning. 8: 404-425. DOI: 10.1504/Ijlt.2013.059133 |
0.391 |
|
| 2013 |
Thomason J, Nguyen HV, Litman D. Prosodic entrainment and tutoring dialogue success Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7926: 750-753. DOI: 10.1007/978-3-642-39112-5-104 |
0.317 |
|
| 2011 |
Ai H, Litman D. Comparing user simulations for dialogue strategy learning Acm Transactions On Speech and Language Processing. 7. DOI: 10.1145/1966407.1966414 |
0.547 |
|
| 2011 |
Ai H, Litman D. Assessing user simulation for dialog systems using human judges and automatic evaluation measures Natural Language Engineering. 17: 511-540. DOI: 10.1017/S1351324910000318 |
0.56 |
|
| 2011 |
Forbes-Riley K, Litman D. Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor Speech Communication. 53: 1115-1136. DOI: 10.1016/J.Specom.2011.02.006 |
0.444 |
|
| 2011 |
Forbes-Riley K, Litman D. Designing and evaluating a wizarded uncertainty-adaptive spoken dialogue tutoring system Computer Speech and Language. 25: 105-126. DOI: 10.1016/J.Csl.2009.12.002 |
0.404 |
|
| 2011 |
Chi M, Vanlehn K, Litman D, Jordan P. Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies User Modeling and User-Adapted Interaction. 21: 137-180. DOI: 10.1007/S11257-010-9093-1 |
0.595 |
|
| 2011 |
Ward A, Litman D. Adding abstractive reflection to a tutorial dialog system Proceedings of the 24th International Florida Artificial Intelligence Research Society, Flairs - 24. 555-560. |
0.3 |
|
| 2010 |
Chi M, Vanlehn K, Litman D, Jordan P. Inducing effective pedagogical strategies using learning context features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6075: 147-158. DOI: 10.1007/978-3-642-13470-8_15 |
0.324 |
|
| 2010 |
Xiong W, Litman D. Identifying problem localization in peer-review feedback Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6095: 429-431. DOI: 10.1007/978-3-642-13437-1_93 |
0.517 |
|
| 2010 |
Drummond J, Litman D. In the zone: Towards detecting student zoning out using supervised machine learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6095: 306-308. DOI: 10.1007/978-3-642-13437-1_53 |
0.306 |
|
| 2010 |
Forbes-Riley K, Litman D. Metacognition and learning in spoken dialogue computer tutoring Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6094: 379-388. DOI: 10.1007/978-3-642-13388-6_42 |
0.314 |
|
| 2009 |
Rotaru M, Litman DJ. Discourse structure and performance analysis: Beyond the correlation Proceedings of the Sigdial 2009 Conference: 10th Annual Meeting of the Special Interest Group On Discourse and Dialogue. 178-187. |
0.533 |
|
| 2009 |
Litman D, Rotaru M, Nicholas G. Classifying turn-level uncertainty using word-level prosody Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2003-2006. |
0.588 |
|
| 2008 |
Tetreault JR, Litman DJ. A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems Speech Communication. 50: 683-696. DOI: 10.1016/j.specom.2008.05.002 |
0.332 |
|
| 2008 |
Forbes-Riley K, Rotaru M, Litman DJ. The relative impact of student affect on performance models in a spoken dialogue tutoring system User Modeling and User-Adapted Interaction. 18: 11-43. DOI: 10.1007/S11257-007-9038-5 |
0.587 |
|
| 2008 |
Forbes-Riley K, Litman D, Rotaru M. Responding to student uncertainty during computer tutoring: An experimental evaluation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5091: 60-69. DOI: 10.1007/978-3-540-69132-7-11 |
0.529 |
|
| 2008 |
Purandare A, Litman D. Content-learning correlations in spoken tutoring dialogs at word, turn and discourse levels Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, Flairs-21. 439-444. |
0.303 |
|
| 2008 |
Ai H, Litman DJ. Assessing dialog system user simulation evaluation measures using human judges Acl-08: Hlt - 46th Annual Meeting of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 622-629. |
0.485 |
|
| 2007 |
Ai H, Litman DJ. Knowledge consistent user simulations for dialog systems Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 1: 469-472. |
0.546 |
|
| 2007 |
Rotaru M, Litman DJ. The utility of a graphical representation of discourse structure in spoken dialogue systems Acl 2007 - Proceedings of the 45th Annual Meeting of the Association For Computational Linguistics. 360-367. |
0.57 |
|
| 2006 |
Litman D, Swerts M, Hirschberg J. Characterizing and predicting corrections in spoken dialogue systems Computational Linguistics. 32: 417-438. DOI: 10.1162/Coli.2006.32.3.417 |
0.393 |
|
| 2006 |
Nicholas G, Rotaru M, Litman DJ. Exploiting word-level features for emotion prediction 2006 Ieee Acl Spoken Language Technology Workshop, Slt 2006, Proceedings. 110-113. DOI: 10.1109/SLT.2006.326829 |
0.561 |
|
| 2006 |
Litman D, Forbes-Riley K. Correlations between dialogue acts and learning in spoken tutoring dialogues Natural Language Engineering. 12: 161-176. DOI: 10.1017/S1351324906004165 |
0.38 |
|
| 2006 |
Ai H, Litman D. Comparing real-real, simulated-simulated, and simulated-real spoken dialogue corpora Aaai Workshop - Technical Report. 1-6. |
0.42 |
|
| 2006 |
Rotaru M, Litman DJ. Exploiting discourse structure for spoken dialogue performance analysis Coling/Acl 2006 - Emnlp 2006: 2006 Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 85-93. |
0.53 |
|
| 2006 |
Rotaru M, Litman DJ. Dependencies between student state and speech recognition problems in spoken tutoring dialogues Coling/Acl 2006 - 21st International Conference On Computational Linguistics and 44th Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 1: 193-200. |
0.574 |
|
| 2006 |
Forbes-Riley K, Litman DJ. Modelling user satisfaction and student learning in a spoken dialogue tutoring system with generic, tutoring, and user affect parameters Hlt-Naacl 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference. 264-271. |
0.333 |
|
| 2006 |
Hua A, Litman DJ, Forbes-Riley K, Rotaru M, Tetreault J, Purandare A. Using system and user performance features to improve emotion detection in spoken tutoring dialogs Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2: 797-800. |
0.612 |
|
| 2005 |
Litman D, Forbes-Riley K. Speech recognition performance and learning in spoken dialogue tutoring 9th European Conference On Speech Communication and Technology. 161-164. |
0.34 |
|
| 2005 |
Rotaru M, Litman DJ. Using word-level pitch features to better predict student emotions during spoken tutoring dialogues 9th European Conference On Speech Communication and Technology. 881-884. |
0.584 |
|
| 2005 |
Rotaru M, Litman DJ. Improving question answering for reading comprehension tests by combining multiple systems Aaai Workshop - Technical Report. 46-50. |
0.552 |
|
| 2005 |
Rotaru M, Litman DJ, Forbes-Riley K. Interactions between speech recognition problems and user emotions 9th European Conference On Speech Communication and Technology. 2481-2484. |
0.559 |
|
| 2004 |
Hirschberg J, Litman D, Swerts M. Prosodic and other cues to speech recognition failures Speech Communication. 43: 155-175. DOI: 10.1016/J.Specom.2004.01.006 |
0.319 |
|
| 2002 |
Singh S, Litman D, Kearns M, Walker M. Optimizing dialogue management with reinforcement learning: experiments with the NJFun system Journal of Artificial Intelligence Research. 16: 105-133. DOI: 10.1613/Jair.859 |
0.358 |
|
| 2001 |
Zukerman I, Litman D. Natural language processing and user modeling: Synergies and limitations User Modeling and User-Adapted Interaction. 11: 129-158. DOI: 10.1023/A:1011174108613 |
0.387 |
|
| 2000 |
Walker M, Kamm C, Litman D. Towards developing general models of usability with PARADISE Natural Language Engineering. 6: 363-377. DOI: 10.1017/S1351324900002503 |
0.378 |
|
| 1996 |
Goodman B, Kobsa A, Litman D. The Fourth International Conference on User Modeling Ai Magazine. 17: 96. DOI: 10.1609/Aimag.V17I1.1219 |
0.368 |
|
| 1993 |
Hirschberg J, Litman D. Empirical studies on the disambiguation of cue phrases Computational Linguistics. 19: 501-530. DOI: 10.7916/D8Pv6Tgb |
0.364 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2003 |
Litman D, Forbes K. Recognizing emotions from student speech in tutoring dialogues 2003 Ieee Workshop On Automatic Speech Recognition and Understanding, Asru 2003. 25-30. DOI: 10.1109/ASRU.2003.1318398 |
0.3 |
|
| 2012 |
Lipschultz M, Litman D, Jordan P, Katz S. Evaluating Learning Factors analysis Ceur Workshop Proceedings. 872. |
0.299 |
|
| 2006 |
Forbes-Riley K, Litman D, Silliman S, Tetrcault J. Comparing synthesized versus pre-recorded tutor speech in an intelligent tutoring spoken dialogue system Flairs 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference. 2006: 509-514. |
0.299 |
|
| 2006 |
Tetreault JR, Litman DJ. Comparing the utility of state features in spoken dialogue using reinforcement learning Hlt-Naacl 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference. 272-279. |
0.298 |
|
| 1996 |
Litman DJ. Cue phrase classification using machine learning Journal of Artificial Intelligence Research. 5: 53-94. |
0.296 |
|
| 2006 |
Litman DJ, Forbes-Riley K. Recognizing student emotions and attitudes on the basis of utterances in spoken tutoring dialogues with both human and computer tutors Speech Communication. 48: 559-590. DOI: 10.1016/j.specom.2005.09.008 |
0.292 |
|
| 2020 |
Correnti R, Matsumura LC, Wang EL, Litman D, Rahimi Z, Kisa Z. Automated Scoring of Students’ Use of Text Evidence in Writing Reading Research Quarterly. 55: 493-520. DOI: 10.1002/Rrq.281 |
0.289 |
|
| 2009 |
Forbes-Riley K, Litman D. Adapting to student uncertainty improves tutoring dialogues Frontiers in Artificial Intelligence and Applications. 200: 33-40. DOI: 10.3233/978-1-60750-028-5-33 |
0.288 |
|
| 2002 |
Litman DJ, Pan S. Designing and evaluating an adaptive spoken dialogue system User Modeling and User-Adapted Interaction. 12: 111-137. DOI: 10.1023/A:1015036910358 |
0.287 |
|
| 2011 |
Ward A, Litman D. Cohesion / knowledge interactions in post-tutoring reflective text Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6738: 578-581. DOI: 10.1007/978-3-642-21869-9_107 |
0.285 |
|
| 2009 |
Forbes-Riley K, Litman D. A user modeling-based performance analysis of a wizarded uncertainty-adaptive dialogue system corpus Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2467-2470. |
0.277 |
|
| 2005 |
Forbes-Riley K, Litman D. Correlating student acoustic-prosodic profiles with student learning in spoken tutoring dialogues 9th European Conference On Speech Communication and Technology. 157-160. |
0.275 |
|
| 2006 |
Ward A, Litman D. Cohesion and learning in a tutorial spoken dialog system Flairs 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference. 2006: 533-538. |
0.272 |
|
| 2015 |
Luo W, Litman D. Summarizing student responses to reflection prompts Conference Proceedings - Emnlp 2015: Conference On Empirical Methods in Natural Language Processing. 1955-1960. |
0.269 |
|
| 2012 |
Forbes-Riley K, Litman D, Friedberg H, Drummond J. Intrinsic and extrinsic evaluation of an automatic user disengagement detector for an uncertainty-adaptive spoken dialogue system Naacl Hlt 2012 - 2012 Conference of the North American Chapter of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 91-102. |
0.268 |
|
| 2011 |
Drummond J, Litman D. Examining the impacts of dialogue content and system automation on affect models in a spoken tutorial dialogue system Proceedings of the Sigdial 2011 Conference: 12th Annual Meeting of the Special Interest Group On Discourse and Dialogue. 312-318. |
0.267 |
|
| 2002 |
Litman D, Patel-Schneider PF, Mishra A, Crawford J, Dvorak D. R++: Adding path-based rules to C++ Ieee Transactions On Knowledge and Data Engineering. 14: 638-658. DOI: 10.1109/Tkde.2002.1000347 |
0.267 |
|
| 2012 |
Litman D. Speech and language processing for adaptive training Adaptive Technologies For Training and Education. 247-260. DOI: 10.1017/CBO9781139049580.019 |
0.267 |
|
| 2004 |
Litman DJ, Rosé CP, Forbes-Riley K, Vanlehn K, Bhembe D, Silliman S. Spoken versus typed human and computer dialogue tutoring Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3220: 368-379. |
0.266 |
|
| 2014 |
Rahimi Z, Litman DJ, Correnti R, Matsumura LC, Wang E, Kisa Z. Automatic scoring of an analytical response-to-text assessment Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8474: 601-610. DOI: 10.1007/978-3-319-07221-0_76 |
0.265 |
|
| 2011 |
Chi M, Vanlehn K, Litman D, Jordan P. An evaluation of pedagogical tutorial tactics for a natural language tutoring system: A reinforcement learning approach International Journal of Artificial Intelligence in Education. 21: 83-113. DOI: 10.3233/JAI-2011-014 |
0.264 |
|
| 1999 |
Litman DJ, Pan S. Empirically evaluating an adaptable spoken dialogue system Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 407: 55-64. |
0.261 |
|
| 2006 |
Kumar R, Rosé CP, Litman DJ. Identification of confusion and surprise in spoken dialog using prosodic features Interspeech 2006 and 9th International Conference On Spoken Language Processing, Interspeech 2006 - Icslp. 4: 1842-1845. |
0.26 |
|
| 2015 |
Fan X, Luo W, Menekse M, Litman D, Wang J. CourseMIRROR: Enhancing large classroom instructor-student interactions via mobile interfaces and natural language processing Conference On Human Factors in Computing Systems - Proceedings. 18: 1473-1478. DOI: 10.1145/2702613.2732853 |
0.26 |
|
| 2006 |
Tetreault JR, Litman DJ. Using reinforcement learning to build a better model of dialogue state Eacl 2006 - 11th Conference of the European Chapter of the Association For Computational Linguistics, Proceedings of the Conference. 289-296. |
0.257 |
|
| 2009 |
Xiong W, Litman DJ, Marai GE. Analyzing prosodic features and student uncertainty using visualization Aaai Fall Symposium - Technical Report. 93-98. |
0.257 |
|
| 2008 |
Jordan P, Litman D. Minimal feedback during tutorial dialogue Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5091: 671-673. DOI: 10.1007/978-3-540-69132-7-73 |
0.255 |
|
| 2014 |
Lipschultz M, Litman D. Modeling student benefit from illustrations and graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8474: 436-441. DOI: 10.1007/978-3-319-07221-0_54 |
0.254 |
|
| 2011 |
Kate FR, Litman D. Using performance trajectories to analyze the immediate impact of user state misclassification in an adaptive spoken dialogue system Proceedings of the Sigdial 2011 Conference: 12th Annual Meeting of the Special Interest Group On Discourse and Dialogue. 216-226. |
0.253 |
|
| 2013 |
Katz S, Albacete P, Ford MJ, Jordan P, Lipschultz M, Litman D, Silliman S, Wilson C. Pilot test of a natural-language tutoring system for physics that simulates the highly interactive nature of human tutoring Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7926: 636-639. DOI: 10.1007/978-3-642-39112-5-77 |
0.251 |
|
| 2006 |
Purandare A, Litman D. Humor: Prosody analysis and automatic recognition for F * R * i * e * N * D * S * Coling/Acl 2006 - Emnlp 2006: 2006 Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 208-215. |
0.251 |
|
| 2013 |
Jordan P, Albacete P, Ford MJ, Katz S, Lipschultz M, Litman D, Silliman S, Wilson C. Interactive event: the rimac tutor-a simulation of the highly interactive nature of human tutorial dialogue Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7926: 928-929. DOI: 10.1007/978-3-642-39112-5-148 |
0.25 |
|
| 2007 |
Ai H, Raux A, Bohus D, Eskenazi M, Litman D. Comparing spoken dialog corpora collected with recruited subjects versus real users Proceedings of the 8th Sigdial Workshop On Discourse and Dialogue. 124-131. |
0.248 |
|
| 2011 |
Lipschultz M, Litman D, Jordan P, Katz S. Predicting changes in level of abstraction in tutor responses to students Proceedings of the 24th International Florida Artificial Intelligence Research Society, Flairs - 24. 525-530. |
0.246 |
|
| 2008 |
Purandare A, Litman D. Analyzing dialog coherence using transition patterns in lexical and semantic features Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, Flairs-21. 195-200. |
0.246 |
|
| 2010 |
Chi M, Vanlehn K, Litman D. Do micro-level tutorial decisions matter: Applying reinforcement learning to induce pedagogical tutorial tactics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6094: 224-234. DOI: 10.1007/978-3-642-13388-6_27 |
0.244 |
|
| 2013 |
Thomason J, Litman D. Differences in user responses to awizard-of-oz versus automated system Naacl Hlt 2013 - 2013 Conference of the North American Chapter of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference. 796-801. |
0.243 |
|
| 2009 |
Litman D, Moore J, Dzikovska MO, Farrow E. Using natural language processing to analyze tutorial dialogue corpora across domains modalities Frontiers in Artificial Intelligence and Applications. 200: 149-156. DOI: 10.3233/978-1-60750-028-5-149 |
0.242 |
|
| 2007 |
Forbes-Riley K, Litman D. Investigating human tutor responses to student uncertainty for adaptive system development Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4738: 678-689. |
0.242 |
|
| 2013 |
Nguyen HV, Litman DJ. Identifying localization in peer reviews of argument diagrams Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7926: 91-100. DOI: 10.1007/978-3-642-39112-5-10 |
0.24 |
|
| 2011 |
Forbes-Riley K, Litman D. When does disengagement correlate with learning in spoken dialog computer tutoring? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6738: 81-89. DOI: 10.1007/978-3-642-21869-9_13 |
0.239 |
|
| 2002 |
Kearns M, Isbell C, Singh S, Litman D, Howe J. CobotDS: A spoken dialogue system for chat Proceedings of the National Conference On Artificial Intelligence. 425-430. |
0.237 |
|
| 2005 |
Forbes-Riley K, Litman DJ. Using bigrams to identify relationships between student certainness states and tutor responses in a spoken dialogue corpus Proceedings of the 6th Sigdial Workshop On Discourse and Dialogue. 87-96. |
0.237 |
|
| 2009 |
Litman D, Forbes-Riley K. Improving (meta)cognitive tutoring by detecting and responding to uncertainty Aaai Fall Symposium - Technical Report. 64-69. |
0.227 |
|
| 2013 |
Lipschultz M, Litman D. Illustrations or graphs: Some students benefit from one over the other Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7926: 746-749. DOI: 10.1007/978-3-642-39112-5-103 |
0.227 |
|
| 2006 |
Rotoru M, Litman DJ. Discourse structure and speech recognition problems Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 1: 53-56. |
0.227 |
|
| 2012 |
Friedberg H, Litman D, Paletz SBF. Lexical entrainment and success in student engineering groups 2012 Ieee Workshop On Spoken Language Technology, Slt 2012 - Proceedings. 404-409. DOI: 10.1109/SLT.2012.6424258 |
0.225 |
|
| 2012 |
Litman D, Friedberg H, Forbes-Riley K. Prosodic cues to disengagement and uncertainty in physics tutorial dialogues 13th Annual Conference of the International Speech Communication Association 2012, Interspeech 2012. 1: 754-757. |
0.222 |
|
| 2009 |
Jordan P, Litman D, Lipschultz M, Drummond J. Evidence of misunderstandings in tutorial dialogue and their impact on learning Frontiers in Artificial Intelligence and Applications. 200: 125-132. DOI: 10.3233/978-1-60750-028-5-125 |
0.222 |
|
| 2014 |
Nguyen H, Xiong W, Litman D. Classroom evaluation of a scaffolding intervention for improving peer review localization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8474: 272-282. DOI: 10.1007/978-3-319-07221-0_34 |
0.212 |
|
| 1997 |
Passonneau RJ, Litman DJ. Discourse Segmentation by Human and Automated Means Computational Linguistics. 23: 103-139. |
0.211 |
|
| 2009 |
Chi M, Jordan P, Vanlehn K, Litman D. To elicit or to tell: Does it matter Frontiers in Artificial Intelligence and Applications. 200: 197-204. DOI: 10.3233/978-1-60750-028-5-197 |
0.206 |
|
| 2010 |
Lipschultz M, Litman D. Correcting scientific knowledge in a general-purpose ontology Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6095: 374-376. DOI: 10.1007/978-3-642-13437-1_75 |
0.199 |
|
| 2014 |
Falakmasir MH, Ashley KD, Schunn CD, Litman DJ. Identifying thesis and conclusion statements in student essays to scaffold peer review Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8474: 254-259. DOI: 10.1007/978-3-319-07221-0_31 |
0.195 |
|
| 2008 |
Ward A, Litman D. Semantic cohesion and learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5091: 459-469. DOI: 10.1007/978-3-540-69132-7-49 |
0.191 |
|
| 1992 |
Goodman BA, Litman DJ. On the interaction between plan recognition and intelligent interfaces User Modelling and User-Adapted Interaction. 2: 83-115. DOI: 10.1007/BF01101860 |
0.191 |
|
| 2011 |
Xiong W, Litman D. Automatically predicting peer-review helpfulness Acl-Hlt 2011 - Proceedings of the 49th Annual Meeting of the Association For Computational Linguistics: Human Language Technologies. 2: 502-507. |
0.189 |
|
| 2000 |
Singh S, Kearns M, Litman D, Walker M. Reinforcement learning for spoken dialogue systems Advances in Neural Information Processing Systems. 956-962. |
0.172 |
|
| 1998 |
Walker MA, Litman DJ, Kamm CA, Abella A. Evaluating spoken dialogue agents with PARADISE: Two case studies Computer Speech and Language. 12: 317-346. |
0.169 |
|
| 2014 |
Xiong W, Litman D. Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews Coling 2014 - 25th International Conference On Computational Linguistics, Proceedings of Coling 2014: Technical Papers. 1985-1995. |
0.16 |
|
| 2005 |
Stoyanov V, Cardie C, Litman D, Wiebe J. Evaluating an opinion annotation scheme using a new multi-perspective question and answer corpus Aaai Spring Symposium - Technical Report. 150-157. |
0.158 |
|
| 2007 |
Tetreault JR, Bohus D, Litman DJ. Estimating the reliability of MDP policies: A confidence interval approach Naacl Hlt 2007 - Human Language Technologies 2007: the Conference of the North American Chapter of the Association For Computational Linguistics, Proceedings of the Main Conference. 276-283. |
0.145 |
|
| 2004 |
Beck J, Baker R, Corbett A, Kay J, Litman D, Mitrovic T, Ritter S. Workshop on analyzing student-tutor interaction logs to improve educational outcomes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3220: 909. |
0.14 |
|
| 2013 |
Nguyen HV, Litman DJ. Predicting low vs. high disparity between peer and expert ratings in peer reviews of physics lab reports Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7926: 687-691. DOI: 10.1007/978-3-642-39112-5-89 |
0.137 |
|
| 1989 |
Litman DJ, Goodman BA. A knowledge-based interface for process design . |
0.132 |
|
| 2004 |
Heffernan N, Wiemer-Hastings P, Aist G, Aleven V, Arroyo I, Brna P, Core M, Evens M, Freedman R, Glass M, Graesser A, Koedinger K, Jordon P, Litman D, Lulils E, et al. Workshop on dialog-based intelligent tutoring systems: State of the art and new research directions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3220: 914. |
0.128 |
|
| 1996 |
Devanbu PT, Litman DJ. Taxonomic plan reasoning Artificial Intelligence. 84: 1-35. |
0.107 |
|
| 1987 |
Litman DJ, Allen JF. A plan recognition model for subdialogues in conversations Cognitive Science. 11: 163-200. DOI: 10.1016/S0364-0213(87)80005-8 |
0.104 |
|
| 1987 |
Opheim KE, Statland BE, Tillson SA, Litman DJ. Calibration, quality control, and stability of a quantitative enzyme immunochromatographic method for therapeutic drug monitoring. Therapeutic Drug Monitoring. 9: 190-6. PMID 3303468 |
0.1 |
|
| 2010 |
Xiong W, Litman D, Schunn C. Assessing reviewers' performance based on mining problem localization in peer-review data Educational Data Mining 2010 - 3rd International Conference On Educational Data Mining. 211-220. |
0.084 |
|
| 2009 |
Litman D, Forbes-Riley K. Spoken tutorial dialogue and the feeling of another's knowing Proceedings of the Sigdial 2009 Conference: 10th Annual Meeting of the Special Interest Group On Discourse and Dialogue. 286-289. |
0.083 |
|
| 1987 |
Chen R, Li TM, Merrick H, Parrish RF, Bruno V, Kwong A, Stiso C, Litman DJ. An internal clock reaction used in a one-step enzyme immunochromatographic assay of theophylline in whole blood. Clinical Chemistry. 33: 1521-5. PMID 3304712 |
0.079 |
|
| 1997 |
Litman D, Patel-Schneider PF, Mishra A. Modeling Dynamic Collections of Interdependent Objects Using Path-Based Rules Sigplan Notices (Acm Special Interest Group On Programming Languages). 32: 77-86. |
0.077 |
|
| 1986 |
Bornheim LM, Parish DW, Smith KM, Litman DA, Correia MA. The influence of side chain modifications of the heme moiety on prosthetic acceptance and function of rat hepatic cytochrome P-450 and tryptophan pyrrolase. Archives of Biochemistry and Biophysics. 246: 63-74. PMID 3963832 DOI: 10.1016/0003-9861(86)90449-2 |
0.06 |
|
| 1991 |
Fairchild L, Wong E, Li TM, Litman DJ. Phenobarbital monitoring in whole blood with a quantitative noninstrumented test. Therapeutic Drug Monitoring. 13: 425-7. PMID 1957335 |
0.058 |
|
| 1975 |
Gaskin F, Litman DJ, Cantor CR, Shelanski ML. The formation of filamentous structures from iodinated neurotubules. Journal of Supramolecular Structure. 3: 39-50. PMID 1152466 DOI: 10.1002/Jss.400030105 |
0.057 |
|
| 1985 |
Zuk RF, Ginsberg VK, Houts T, Rabbie J, Merrick H, Ullman EF, Fischer MM, Sizto CC, Stiso SN, Litman DJ. Enzyme immunochromatography--a quantitative immunoassay requiring no instrumentation. Clinical Chemistry. 31: 1144-50. PMID 3891138 |
0.057 |
|
| 2000 |
Litman DA, Shah UK, Pawel BR. Isolated endobronchial atypical mycobacterium in a child: a case report and review of the literature. International Journal of Pediatric Otorhinolaryngology. 55: 65-8. PMID 10996239 DOI: 10.1016/S0165-5876(00)00381-5 |
0.05 |
|
| 1987 |
Li TM, Chen R, Leeder S, Stiso SN, Sizto NC, Zuk RF, Litman DJ. One-step enzyme immunochromatographic assay for theophylline. Analytical Biochemistry. 166: 276-83. PMID 3324820 DOI: 10.1016/0003-2697(87)90575-6 |
0.046 |
|
| 1987 |
Linhardt RJ, Albarella JP, Anderson LHD, Paau A, Platt SG, Sequeira L, Ranki TM, Soderlund HE, Sheldon EL, Levenson CH, Mullis KB, Rapoport H, Watson RM, Yabusaki KK, Isaacs ST, ... ... Litman DJ, et al. Patents and literature Applied Biochemistry and Biotechnology. 15: 279-295. PMID 3331236 DOI: 10.1007/BF02798455 |
0.045 |
|
| 1993 |
Litman DA, Bhuta S, Barsky SH. Synchronous occurrence of malignant rhabdoid tumor two decades after Wilms' tumor irradiation. The American Journal of Surgical Pathology. 17: 729-37. PMID 8391222 |
0.041 |
|
| 1976 |
Litman DJ, Beekman A, Cantor CR. Further studies on the identity of proteins at the subunit interface of the 70 S E. coli ribosome. Archives of Biochemistry and Biophysics. 174: 523-31. PMID 779659 DOI: 10.1016/0003-9861(76)90379-9 |
0.035 |
|
| 1994 |
Litman DA, Cochran AJ, Hirshowitz SL. False-positive HMB-45 staining of axillary apocrine cells. Acta Cytologica. 38: 489-91. PMID 7514836 |
0.034 |
|
| 1994 |
Litman DA, Cochran AJ, Hirshowitz SL. False-positive HMB-45 staining of axillary apocrine cells [3] Acta Cytologica. 38: 489-491. |
0.034 |
|
| 1976 |
Miller HM, Friedman SM, Litman DJ, Cantor CR. Surface topography of the Bacillus stearothermophilus ribosome Mgg Molecular &Amp; General Genetics. 144: 273-280. PMID 1272247 DOI: 10.1007/BF00341725 |
0.027 |
|
| 1987 |
Correia MA, Litman DA, Lunetta JM. Drug-induced modulations of hepatic heme metabolism. Neurological consequences. Annals of the New York Academy of Sciences. 514: 248-55. PMID 3442388 |
0.024 |
|
| 2000 |
Liu J, Litman D, Rosenberg MJ, Yu S, Biesecker LG, Weinstein LS. A GNAS1 imprinting defect in pseudohypoparathyroidism type IB. The Journal of Clinical Investigation. 106: 1167-74. PMID 11067869 DOI: 10.1172/JCI10431 |
0.024 |
|
| 1983 |
Litman DA, Correia MA. L-tryptophan: a common denominator of biochemical and neurological events of acute hepatic porphyria? Science (New York, N.Y.). 222: 1031-3. PMID 6648517 |
0.02 |
|
| 1980 |
Litman DJ, Hanlon TM, Ullman EF. Enzyme channeling immunoassay: a new homogeneous enzyme immunoassay technique. Analytical Biochemistry. 106: 223-9. PMID 6998319 |
0.018 |
|
| 1974 |
Litman DJ, Lee CC, Cantor CR. Evidence for a conformational change in the 30 S E. coli ribosomal subunit upon formation of 70 S particles. Febs Letters. 47: 268-71. PMID 4609795 DOI: 10.1016/0014-5793(74)81027-6 |
0.017 |
|
| 2000 |
Khariwala SS, Litman DA, McQuone SJ, Hess JL, Thaler ER. Quiz case 2. Natural killer (NK) cell/peripheral T-cell lymphoma. Archives of Otolaryngology--Head & Neck Surgery. 126: 1391, 1393. PMID 11074841 |
0.016 |
|
| 2004 |
Ebertl G, Litman DR. Thymic origin of intestinal αβ T cells revealed by fate mapping of RORγt+ cells Science. 305: 248-251. PMID 15247480 DOI: 10.1126/Science.1096472 |
0.015 |
|
| 1983 |
Litman DJ, Lee RH, Jeong HJ, Tom HK, Stiso SN, Sizto NC, Ullman EF. An internally referenced test strip immunoassay for morphine. Clinical Chemistry. 29: 1598-603. PMID 6349853 |
0.014 |
|
| 1985 |
Litman DA, Correia MA. Elevated brain tryptophan and enhanced 5-hydroxytryptamine turnover in acute hepatic heme deficiency: clinical implications. The Journal of Pharmacology and Experimental Therapeutics. 232: 337-45. PMID 3968635 |
0.013 |
|
| 2000 |
Liu J, Yu S, Litman D, Chen W, Weinstein LS. Identification of a methylation imprint mark within the mouse Gnas locus. Molecular and Cellular Biology. 20: 5808-17. PMID 10913164 DOI: 10.1128/MCB.20.16.5808-5817.2000 |
0.012 |
|
| 2005 |
Andersson O, Kozlowski M, Garachtchenko T, Nikoloff C, Lew N, Litman DJ, Chaga G. Determination of relative protein abundance by internally normalized ratio algorithm with antibody arrays. Journal of Proteome Research. 4: 758-67. PMID 15952723 DOI: 10.1021/pr049776f |
0.01 |
|
| 1997 |
Kirkpatrick B, Litman D, Kim JW, Vladar K, Breier A, Buchanan RW. Failure of fusion of the septum pellucidum and the heterogeneity of schizophrenia. The Journal of Nervous and Mental Disease. 185: 639-41. PMID 9345255 DOI: 10.1097/00005053-199710000-00008 |
0.01 |
|
| 1984 |
Chen R, Weng L, Sizto NC, Osorio B, Hsu CJ, Rodgers R, Litman DJ. Ultrasound-accelerated immunoassay, as exemplified by enzyme immunoassay of choriogonadotropin. Clinical Chemistry. 30: 1446-51. PMID 6380810 |
0.01 |
|
| 1980 |
Litman D, Hsu DJ, Marchesi VT. Evidence that spectrin binds to macromolecular complexes on the inner surface of the red cell membrane. Journal of Cell Science. 42: 1-22. PMID 7400228 |
0.01 |
|
| 1974 |
Litman DJ, Cantor CR. Surface topography of the Escherichia coli ribosome enzymatic iodination of the 50S subunit. Biochemistry. 13: 512-8. PMID 4589314 DOI: 10.1021/Bi00700A017 |
0.01 |
|
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