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ORCIDDiane J. Litman
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- affiliation: University of Pittsburgh, Pennsylvania, USA
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2020 – today
- 2024
[c217]Tianwen Li, Zhexiong Liu, Lindsay Clare Matsumura, Elaine Wang, Diane J. Litman, Richard Correnti:
Using Large Language Models to Assess Young Students' Writing Revisions. BEA 2024: 365-380- [c216]Nhat Tran, Diane J. Litman:
Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue. LREC/COLING 2024: 5986-5995 - [c215]Mohamed Elaraby, Yang Zhong, Diane J. Litman, Ahmed Ashraf Butt, Muhsin Menekse:
ReflectSumm: A Benchmark for Course Reflection Summarization. LREC/COLING 2024: 13819-13846 - [c214]Yuya Asano, Diane J. Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison:
What metrics of participation balance predict outcomes of collaborative learning with a robot? EDM 2024 - [c213]Nhat Tran, Benjamin Pierce, Diane J. Litman, Richard Correnti, Lindsay Clare Matsumura:
Analyzing Large Language Models for Classroom Discussion Assessment. EDM 2024 - [c212]Mohamed Elaraby, Diane J. Litman, Xiang Li, Ahmed Magooda:
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking. EMNLP (Findings) 2024: 14311-14329 - [i53]Yang Zhong, Mohamed Elaraby, Diane J. Litman, Ahmed Ashraf Butt, Muhsin Menekse:
ReflectSumm: A Benchmark for Course Reflection Summarization. CoRR abs/2403.19012 (2024) - [i52]Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane J. Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams:
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR abs/2404.01158 (2024) - [i51]Nhat Tran, Diane J. Litman:
Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue. CoRR abs/2405.04713 (2024) - [i50]Yuya Asano, Diane J. Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
What metrics of participation balance predict outcomes of collaborative learning with a robot? CoRR abs/2405.11092 (2024) - [i49]Nhat Tran, Benjamin Pierce, Diane J. Litman, Richard Correnti, Lindsay Clare Matsumura:
Analyzing Large Language Models for Classroom Discussion Assessment. CoRR abs/2406.08680 (2024) - [i48]Mohamed Elaraby, Diane J. Litman, Xiang Lorraine Li, Ahmed Magooda:
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking. CoRR abs/2406.13905 (2024) - 2023
- [c211]Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking. ACL (Findings) 2023: 7601-7612 - [c210]Tazin Afrin, Diane J. Litman:
Learning from Auxiliary Sources in Argumentative Revision Classification. AIED (Posters/Late Breaking Results/...) 2023: 272-277 - [c209]Nhat Tran, Benjamin Pierce, Diane J. Litman, Richard Correnti
, Lindsay Clare Matsumura:
Utilizing Natural Language Processing for Automated Assessment of Classroom Discussion. AIED (Posters/Late Breaking Results/...) 2023: 490-496 - [c208]Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. AIED (Posters/Late Breaking Results/...) 2023: 606-611 - [c207]Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. ArgMining@EMNLP 2023: 120-132 - [c206]Zhexiong Liu, Diane J. Litman, Elaine Wang, Lindsay Clare Matsumura, Richard Correnti:
Predicting the Quality of Revisions in Argumentative Writing. BEA@ACL 2023: 275-287 - [c205]Tazin Afrin, Diane J. Litman:
Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing. EACL (Findings) 2023: 2505-2516 - [c204]Yang Zhong, Diane J. Litman:
STRONG - Structure Controllable Legal Opinion Summary Generation. IJCNLP (Findings) 2023: 431-448 - [i47]Tazin Afrin, Diane J. Litman:
Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing. CoRR abs/2302.05039 (2023) - [i46]Zhexiong Liu, Diane J. Litman, Elaine Wang, Lindsay Clare Matsumura, Richard Correnti:
Predicting the Quality of Revisions in Argumentative Writing. CoRR abs/2306.00667 (2023) - [i45]Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking. CoRR abs/2306.00672 (2023) - [i44]Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport. CoRR abs/2306.07302 (2023) - [i43]Nhat Tran, Benjamin Pierce, Diane J. Litman, Richard Correnti, Lindsay Clare Matsumura:
Utilizing Natural Language Processing for Automated Assessment of Classroom Discussion. CoRR abs/2306.14918 (2023) - [i42]Tazin Afrin, Diane J. Litman:
Learning from Auxiliary Sources in Argumentative Revision Classification. CoRR abs/2309.07334 (2023) - [i41]Yang Zhong, Diane J. Litman:
STRONG - Structure Controllable Legal Opinion Summary Generation. CoRR abs/2309.17280 (2023) - [i40]Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. CoRR abs/2310.12172 (2023) - 2022
- [j33]Omid Kashefi, Tazin Afrin, Meghan Dale, Christopher Olshefski, Amanda Godley, Diane J. Litman, Rebecca Hwa:
ArgRewrite V.2: an annotated argumentative revisions corpus. Lang. Resour. Evaluation 56(3): 881-915 (2022) - [c203]Yang Zhong, Diane J. Litman:
Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions. NLLP@EMNLP 2022: 322-337 - [c202]Ahmed Magooda, Diane J. Litman, Ahmed Ashraf, Muhsin Menekse:
Improving the Quality of Students' Written Reflections Using Natural Language Processing: Model Design and Classroom Evaluation. AIED (1) 2022: 519-525 - [c201]Diane J. Litman, Tazin Afrin, Omid Kashefi, Christopher Olshefski, Amanda Godley, Rebecca Hwa:
An Automated Writing Evaluation System for Supporting Self-monitored Revising. AIED (1) 2022: 581-587 - [c200]Christina Steele, Nikki G. Lobczowski, Teresa Davison, Mingzhi Yu, Michael S. Diamond, Adriana Kovashka, Diane J. Litman, Timothy Nokes-Malach, Erin Walker:
It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner. AIED (2) 2022: 604-607 - [c199]Zhexiong Liu, Meiqi Guo, Yue Dai, Diane J. Litman:
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining. ArgMining@COLING 2022: 1-18 - [c198]Mohamed Elaraby, Diane J. Litman:
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining. COLING 2022: 6187-6194 - [c197]Tristan Maidment, Mingzhi Yu, Nikki G. Lobczowski, Adriana Kovashka, Erin Walker, Diane J. Litman, Timothy Nokes-Malach:
Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions. EDM 2022 - [c196]Nhat Tran, Diane J. Litman:
Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift. SIGDIAL 2022: 368-375 - [c195]Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions. SIGDIAL 2022: 615-622 - [c194]Nhat Tran, Malihe Alikhani, Diane J. Litman:
How to Ask for Donations? Learning User-Specific Persuasive Dialogue Policies through Online Interactions. UMAP 2022: 12-22 - [i39]Omid Kashefi, Tazin Afrin, Meghan Dale, Christopher Olshefski, Amanda Godley, Diane J. Litman, Rebecca Hwa:
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus. CoRR abs/2206.01677 (2022) - [i38]Mohamed Elaraby, Diane J. Litman:
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining. CoRR abs/2209.01650 (2022) - [i37]Zhexiong Liu, Meiqi Guo, Yue Dai, Diane J. Litman:
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining. CoRR abs/2209.06416 (2022) - [i36]Yuya Asano, Diane J. Litman, Mingzhi Yu, Nikki G. Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions. CoRR abs/2209.11842 (2022) - [i35]Yang Zhong, Diane J. Litman:
Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions. CoRR abs/2211.03229 (2022) - 2021
- [c193]Diane J. Litman, Haoran Zhang, Richard Correnti, Lindsay Clare Matsumura, Elaine Wang:
A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing. AIED (1) 2021: 255-267 - [c192]Mohamed Elaraby, Diane J. Litman:
Self-trained Pretrained Language Models for Evidence Detection. ArgMining@EMNLP 2021: 142-147 - [c191]Nhat Tran, Diane J. Litman:
Multi-task Learning in Argument Mining for Persuasive Online Discussions. ArgMining@EMNLP 2021: 148-153 - [c190]Haoran Zhang, Diane J. Litman:
Essay Quality Signals as Weak Supervision for Source-based Essay Scoring. BEA@EACL 2021: 85-96 - [c189]Tazin Afrin, Omid Kashefi, Christopher Olshefski, Diane J. Litman, Rebecca Hwa, Amanda Godley:
Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. CHI 2021: 58:1-58:13 - [c188]Sonia Cromp, Diane J. Litman:
Essay Revision and Corresponding Grade Change asCaptured by Text Similarity and Revision Purposes. EDM (Workshops) 2021 - [c187]Ahmed Magooda, Diane J. Litman, Mohamed Elaraby:
Exploring Multitask Learning for Low-Resource Abstractive Summarization. EMNLP (Findings) 2021: 1652-1661 - [c186]Ahmed Magooda, Diane J. Litman:
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization. EMNLP (Findings) 2021: 2043-2052 - [c185]Mingzhi Yu, Diane J. Litman:
Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT. FLAIRS 2021 - [i34]Luca Lugini, Diane J. Litman:
Contextual Argument Component Classification for Class Discussions. CoRR abs/2102.10290 (2021) - [i33]Luca Lugini, Christopher Olshefski, Ravneet Singh, Diane J. Litman, Amanda Godley:
Discussion Tracker: Supporting Teacher Learning about Students' Collaborative Argumentation in High School Classrooms. CoRR abs/2102.10293 (2021) - [i32]Mingzhi Yu, Diane J. Litman:
Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT. CoRR abs/2105.13479 (2021) - [i31]Tazin Afrin, Elaine Wang, Diane J. Litman, Lindsay Clare Matsumura, Richard Correnti:
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing. CoRR abs/2107.06990 (2021) - [i30]Tazin Afrin, Omid Kashefi, Christopher Olshefski, Diane J. Litman, Rebecca Hwa, Amanda Godley:
Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. CoRR abs/2107.07018 (2021) - [i29]Mingzhi Yu, Diane J. Litman, Shuang Ma, Jian Wu:
A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations. CoRR abs/2109.01924 (2021) - [i28]Ahmed Magooda, Mohamed Elaraby, Diane J. Litman:
Exploring Multitask Learning for Low-Resource AbstractiveSummarization. CoRR abs/2109.08565 (2021) - [i27]Ahmed Magooda, Diane J. Litman:
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization. CoRR abs/2109.08569 (2021) - 2020
- [c184]Zahra Rahimi, Diane J. Litman:
Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues. AAAI 2020: 8681-8688 - [c183]Haoran Zhang, Diane J. Litman:
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring. ACL 2020: 8569-8584 - [c182]Tazin Afrin, Elaine Wang, Diane J. Litman, Lindsay Clare Matsumura, Richard Correnti:
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing. BEA@ACL 2020: 75-84 - [c181]Luca Lugini, Christopher Olshefski, Ravneet Singh, Diane J. Litman, Amanda Godley:
Discussion Tracker: Supporting Teacher Learning about Students' Collaborative Argumentation in High School Classrooms. COLING (Demonstrations) 2020: 53-58 - [c180]Luca Lugini, Diane J. Litman:
Contextual Argument Component Classification for Class Discussions. COLING 2020: 1475-1480 - [c179]Ahmed Magooda, Diane J. Litman:
Abstractive Summarization for Low Resource Data Using Domain Transfer and Data Synthesis. FLAIRS 2020: 240-245 - [c178]Christopher Olshefski, Luca Lugini, Ravneet Singh, Diane J. Litman, Amanda Godley:
The Discussion Tracker Corpus of Collaborative Argumentation. LREC 2020: 1033-1043 - [i26]Ahmed Magooda, Diane J. Litman:
Abstractive Summarization for Low Resource Data using Domain Transfer and Data Synthesis. CoRR abs/2002.03407 (2020) - [i25]Christopher Olshefski, Luca Lugini, Ravneet Singh, Diane J. Litman, Amanda Godley:
The Discussion Tracker Corpus of Collaborative Argumentation. CoRR abs/2005.11344 (2020) - [i24]Haoran Zhang, Diane J. Litman:
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring. CoRR abs/2008.01809 (2020)
2010 – 2019
- 2019
- [c177]Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana:
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing. AAAI 2019: 9619-9625 - [c176]Tazin Afrin, Diane J. Litman:
Identifying Editor Roles in Argumentative Writing from Student Revision Histories. AIED (2) 2019: 9-13 - [c175]Mingzhi Yu, Diane J. Litman, Susannah Paletz:
Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics and the Perception of Team Social Outcomes. FLAIRS 2019: 227-232 - [c174]Mingzhi Yu, Emer Gilmartin, Diane J. Litman:
Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue. INTERSPEECH 2019: 1921-1925 - [i23]Haoran Zhang, Diane J. Litman:
Word Embedding for Response-To-Text Assessment of Evidence. CoRR abs/1908.01969 (2019) - [i22]Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana:
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing. CoRR abs/1908.01992 (2019) - [i21]Haoran Zhang, Diane J. Litman:
Co-Attention Based Neural Network for Source-Dependent Essay Scoring. CoRR abs/1908.01993 (2019) - [i20]Mingzhi Yu, Diane J. Litman, Susannah Paletz:
Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes. CoRR abs/1909.00867 (2019) - [i19]Mingzhi Yu, Emer Gilmartin, Diane J. Litman:
Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue. CoRR abs/1909.00876 (2019) - [i18]Luca Lugini, Diane J. Litman:
Predicting Specificity in Classroom Discussion. CoRR abs/1909.01462 (2019) - [i17]Luca Lugini, Diane J. Litman:
Argument Component Classification for Classroom Discussions. CoRR abs/1909.03022 (2019) - [i16]Luca Lugini, Diane J. Litman, Amanda Godley, Christopher Olshefski:
Annotating Student Talk in Text-based Classroom Discussions. CoRR abs/1909.03023 (2019) - [i15]Tazin Afrin, Diane J. Litman:
Identifying Editor Roles in Argumentative Writing from Student Revision Histories. CoRR abs/1909.05308 (2019) - [i14]Tazin Afrin, Diane J. Litman:
Annotation and Classification of Sentence-level Revision Improvement. CoRR abs/1909.05309 (2019) - 2018
- [j32]Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
A novel ILP framework for summarizing content with high lexical variety. Nat. Lang. Eng. 24(6): 887-920 (2018) - [c173]Huy V. Nguyen, Diane J. Litman:
Argument Mining for Improving the Automated Scoring of Persuasive Essays. AAAI 2018: 5892-5899 - [c172]Luca Lugini, Diane J. Litman:
Argument Component Classification for Classroom Discussions. ArgMining@EMNLP 2018: 57-67 - [c171]Luca Lugini, Diane J. Litman, Amanda Godley, Christopher Olshefski:
Annotating Student Talk in Text-based Classroom Discussions. BEA@NAACL-HLT 2018: 110-116 - [c170]Tazin Afrin, Diane J. Litman:
Annotation and Classification of Sentence-level Revision Improvement. BEA@NAACL-HLT 2018: 240-246 - [c169]Haoran Zhang, Diane J. Litman:
Co-Attention Based Neural Network for Source-Dependent Essay Scoring. BEA@NAACL-HLT 2018: 399-409 - [c168]Zahra Rahimi, Diane J. Litman:
Weighting Model Based on Group Dynamics to Measure Convergence in Multi-party Dialogue. SIGDIAL Conference 2018: 385-390 - [e2]Kazunori Komatani, Diane J. Litman, Kai Yu, Lawrence Cavedon, Mikio Nakano, Alex Papangelis:
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, Melbourne, Australia, July 12-14, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-67-4 [contents] - [i13]Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
Automatic Summarization of Student Course Feedback. CoRR abs/1805.10395 (2018) - [i12]Wencan Luo, Fei Liu, Diane J. Litman:
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. CoRR abs/1805.10396 (2018) - [i11]Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
A Novel ILP Framework for Summarizing Content with High Lexical Variety. CoRR abs/1807.09671 (2018) - 2017
- [j31]Huy Nguyen, Wenting Xiong, Diane J. Litman:
Iterative Design and Classroom Evaluation of Automated Formative Feedback for Improving Peer Feedback Localization. Int. J. Artif. Intell. Educ. 27(3): 582-622 (2017) - [j30]Zahra Rahimi, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura:
Assessing Students' Use of Evidence and Organization in Response-to-Text Writing: Using Natural Language Processing for Rubric-Based Automated Scoring. Int. J. Artif. Intell. Educ. 27(4): 694-728 (2017) - [c167]Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman:
Using Discourse Signals for Robust Instructor Intervention Prediction. AAAI 2017: 3415-3421 - [c166]Haoran Zhang, Diane J. Litman:
Word Embedding for Response-To-Text Assessment of Evidence. ACL (Student Research Workshop) 2017: 75-81 - [c165]Fan Zhang, Homa B. Hashemi, Rebecca Hwa, Diane J. Litman:
A Corpus of Annotated Revisions for Studying Argumentative Writing. ACL (1) 2017: 1568-1578 - [c164]Luca Lugini, Diane J. Litman:
Predicting Specificity in Classroom Discussion. BEA@EMNLP 2017: 52-61 - [c163]Zahra Rahimi, Anish Kumar, Diane J. Litman, Susannah Paletz, Mingzhi Yu:
Entrainment in Multi-Party Spoken Dialogues at Multiple Linguistic Levels. INTERSPEECH 2017: 1696-1700 - [c162]Jiakun Fang, David Grunberg, Diane J. Litman, Ye Wang:
Discourse Analysis of Lyric and Lyric-Based Classification of Music. ISMIR 2017: 464-471 - [c161]Xiangmin Fan, Wencan Luo, Muhsin Menekse, Diane J. Litman, Jingtao Wang:
Scaling Reflection Prompts in Large Classrooms via Mobile Interfaces and Natural Language Processing. IUI 2017: 363-374 - [c160]Zahra Rahimi, Diane J. Litman, Susannah Paletz:
Acoustic-Prosodic Entrainment in Multi-party Spoken Dialogues: Does Simple Averaging Extend Existing Pair Measures Properly? IWSDS 2017: 169-177 - [c159]Ahmed Magooda, Diane J. Litman:
Syntactic and semantic features for human like judgement in spoken CALL. SLaTE 2017: 109-114 - [e1]Ivan Habernal, Iryna Gurevych, Kevin D. Ashley, Claire Cardie, Nancy L. Green, Diane J. Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern R. Walker:
Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-84-5 [contents] - [i10]Fan Zhang, Diane J. Litman:
A Joint Identification Approach for Argumentative Writing Revisions. CoRR abs/1703.00089 (2017) - 2016
- [c158]Diane J. Litman:
Natural Language Processing for Enhancing Teaching and Learning. AAAI 2016: 4170-4176 - [c157]Huy Nguyen, Diane J. Litman:
Context-aware Argumentative Relation Mining. ACL (1) 2016 - [c156]Zahra Rahimi, Diane J. Litman:
Automatically Extracting Topical Components for a Response-to-Text Writing Assessment. BEA@NAACL-HLT 2016: 277-282 - [c155]Wencan Luo, Fei Liu, Diane J. Litman:
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. COLING 2016: 53-63 - [c154]Fan Zhang, Diane J. Litman, Katherine Forbes-Riley:
Inferring Discourse Relations from PDTB-style Discourse Labels for Argumentative Revision Classification. COLING 2016: 2615-2624 - [c153]Diane J. Litman, Susannah B. F. Paletz, Zahra Rahimi, Stefani Allegretti, Caitlin Rice:
The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues. EMNLP 2016: 1421-1431 - [c152]Wencan Luo, Diane J. Litman:
Determining the Quality of a Student Reflective Response. FLAIRS 2016: 226-231 - [c151]Huy Nguyen, Diane J. Litman:
Improving Argument Mining in Student Essays by Learning and Exploiting Argument Indicators versus Essay Topics. FLAIRS 2016: 485-490 - [c150]Huy Nguyen, Wenting Xiong, Diane J. Litman:
Instant Feedback for Increasing the Presence of Solutions in Peer Reviews. HLT-NAACL Demos 2016: 6-10 - [c149]Fan Zhang, Rebecca Hwa, Diane J. Litman, Homa B. Hashemi:
ArgRewrite: A Web-based Revision Assistant for Argumentative Writings. HLT-NAACL Demos 2016: 37-41 - [c148]Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
Automatic Summarization of Student Course Feedback. HLT-NAACL 2016: 80-85 - [c147]Fan Zhang, Diane J. Litman:
Using Context to Predict the Purpose of Argumentative Writing Revisions. HLT-NAACL 2016: 1424-1430 - [c146]Kate Forbes-Riley, Fan Zhang, Diane J. Litman:
Extracting PDTB Discourse Relations from Student Essays. SIGDIAL Conference 2016: 117-127 - [c145]Diane J. Litman, Steve J. Young, Mark J. F. Gales, Kate M. Knill, Karen Ottewell, Rogier C. van Dalen, David Vandyke:
Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English. SIGDIAL Conference 2016: 270-275 - [i9]Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman:
Using Discourse Signals for Robust Instructor Intervention Prediction. CoRR abs/1612.00944 (2016) - 2015
- [c144]Zahra Rahimi, Diane J. Litman, Elaine Wang, Richard Correnti:
Incorporating Coherence of Topics as a Criterion in Automatic Response-to-Text Assessment of the Organization of Writing. BEA@NAACL-HLT 2015: 20-30 - [c143]Fan Zhang, Diane J. Litman:
Annotation and Classification of Argumentative Writing Revisions. BEA@NAACL-HLT 2015: 133-143 - [c142]Xiangmin Fan, Wencan Luo, Muhsin Menekse, Diane J. Litman, Jingtao Wang:
CourseMIRROR: Enhancing Large Classroom Instructor-Student Interactions via Mobile Interfaces and Natural Language Processing. CHI Extended Abstracts 2015: 1473-1478 - [c141]Wencan Luo, Diane J. Litman:
Summarizing Student Responses to Reflection Prompts. EMNLP 2015: 1955-1960 - [c140]Wencan Luo, Xiangmin Fan, Muhsin Menekse, Jingtao Wang, Diane J. Litman:
Enhancing Instructor-Student and Student-Student Interactions with Mobile Interfaces and Summarization. HLT-NAACL 2015: 16-20 - [c139]Huy Nguyen, Diane J. Litman:
Extracting Argument and Domain Words for Identifying Argument Components in Texts. ArgMining@HLT-NAACL 2015: 22-28 - 2014
- [j29]Michael Lipschultz, Diane J. Litman, Sandra Katz, Patricia L. Albacete, Pamela W. Jordan:
Predicting semantic changes in abstraction in tutor responses to students. Int. J. Learn. Technol. 9(3): 281-303 (2014) - [c138]Nathan Ong, Diane J. Litman, Alexandra Brusilovsky:
Ontology-Based Argument Mining and Automatic Essay Scoring. ArgMining@ACL 2014 - [c137]Huy Nguyen, Diane J. Litman:
Improving Peer Feedback Prediction: The Sentence Level is Right. BEA@ACL 2014: 99-108 - [c136]Fan Zhang, Diane J. Litman:
Sentence-level Rewriting Detection. BEA@ACL 2014: 149-154 - [c135]Wenting Xiong, Diane J. Litman:
Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews. COLING 2014: 1985-1995 - [c134]Mohammad Hassan Falakmasir, Kevin D. Ashley, Christian D. Schunn, Diane J. Litman:
Identifying Thesis and Conclusion Statements in Student Essays to Scaffold Peer Review. Intelligent Tutoring Systems 2014: 254-259 - [c133]Huy Nguyen, Wenting Xiong, Diane J. Litman:
Classroom Evaluation of a Scaffolding Intervention for Improving Peer Review Localization. Intelligent Tutoring Systems 2014: 272-282 - [c132]Michael Lipschultz, Diane J. Litman:
Modeling Student Benefit from Illustrations and Graphs. Intelligent Tutoring Systems 2014: 436-441 - [c131]Zahra Rahimi, Diane J. Litman, Richard Correnti, Lindsay Clare Matsumura, Elaine Wang, Zahid Kisa:
Automatic Scoring of an Analytical Response-To-Text Assessment. Intelligent Tutoring Systems 2014: 601-610 - [c130]Diane J. Litman, Katherine Forbes-Riley:
Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States. SIGDIAL Conference 2014: 181-185 - 2013
- [j28]Katherine Forbes-Riley, Diane J. Litman:
When Does Disengagement Correlate with Performance in Spoken Dialog Computer Tutoring? Int. J. Artif. Intell. Educ. 22(1-2): 39-58 (2013) - [j27]Arthur Ward, Diane J. Litman:
Using reflective text to improve qualitative physics tutoring. Int. J. Learn. Technol. 8(4): 404-425 (2013) - [c129]Huy V. Nguyen, Diane J. Litman:
Identifying Localization in Peer Reviews of Argument Diagrams. AIED 2013: 91-100 - [c128]Sandra Katz, Patricia L. Albacete, Michael Ford, Pamela W. Jordan, Michael Lipschultz, Diane J. Litman, Scott Silliman, Christine Wilson:
Pilot Test of a Natural-Language Tutoring System for Physics That Simulates the Highly Interactive Nature of Human Tutoring. AIED 2013: 636-639 - [c127]Huy V. Nguyen, Diane J. Litman:
Predicting Low vs. High Disparity between Peer and Expert Ratings in Peer Reviews of Physics Lab Reports. AIED 2013: 687-691 - [c126]Michael Lipschultz, Diane J. Litman:
Illustrations or Graphs: Some Students Benefit from One over the Other. AIED 2013: 746-749 - [c125]Jesse D. Thomason, Huy V. Nguyen, Diane J. Litman:
Prosodic Entrainment and Tutoring Dialogue Success. AIED 2013: 750-753 - [c124]Pamela W. Jordan, Patricia L. Albacete, Michael Ford, Sandra Katz, Michael Lipschultz, Diane J. Litman, Scott Silliman, Christine Wilson:
Interactive Event: The Rimac Tutor - A Simulation of the Highly Interactive Nature of Human Tutorial Dialogue. AIED 2013: 928-929 - [c123]Wenting Xiong, Diane J. Litman:
Evaluating Topic-Word Review Analysis for Understanding Student Peer Review Performance. EDM 2013: 200-207 - [c122]Wencan Luo, Diane J. Litman, Joel Chan:
Reducing Annotation Effort on Unbalanced Corpus based on Cost Matrix. HLT-NAACL 2013: 8-15 - [c121]Jesse D. Thomason, Diane J. Litman:
Differences in User Responses to a Wizard-of-Oz versus Automated System. HLT-NAACL 2013: 796-801 - [c120]Diane J. Litman:
Enhancing the effectiveness of spoken dialogue for STEM education. SLaTE 2013: 13-15 - 2012
- [c119]Wenting Xiong, Diane J. Litman, Jingtao Wang, Christian Schunn:
An Interactive Analytic Tool for Peer-Review Exploration. BEA@NAACL-HLT 2012: 174-179 - [c118]Diane J. Litman, Heather Friedberg, Katherine Forbes-Riley:
Prosodic Cues to Disengagement and Uncertainty in Physics Tutorial Dialogues. INTERSPEECH 2012: 755-758 - [c117]Katherine Forbes-Riley, Diane J. Litman, Heather Friedberg, Joanna Drummond:
Intrinsic and Extrinsic Evaluation of an Automatic User Disengagement Detector for an Uncertainty-Adaptive Spoken Dialogue System. HLT-NAACL 2012: 91-102 - [c116]Diane J. Litman:
Cohesion, Entrainment and Task Success in Educational Dialog. SIGDIAL Conference 2012: 197 - [c115]Katherine Forbes-Riley, Diane J. Litman:
Adapting to Multiple Affective States in Spoken Dialogue. SIGDIAL Conference 2012: 217-226 - [c114]Heather Friedberg, Diane J. Litman, Susannah B. F. Paletz:
Lexical entrainment and success in student engineering groups. SLT 2012: 404-409 - [c113]Michael Lipschultz, Diane J. Litman, Pamela W. Jordan, Sandra Katz:
Evaluating learning factors analysis. UMAP Workshops 2012 - 2011
- [j26]Min Chi, Kurt VanLehn, Diane J. Litman, Pamela W. Jordan:
An Evaluation of Pedagogical Tutorial Tactics for a Natural Language Tutoring System: A Reinforcement Learning Approach. Int. J. Artif. Intell. Educ. 21(1-2): 83-113 (2011) - [j25]Katherine Forbes-Riley, Diane J. Litman:
Designing and evaluating a wizarded uncertainty-adaptive spoken dialogue tutoring system. Comput. Speech Lang. 25(1): 105-126 (2011) - [j24]Hua Ai, Diane J. Litman:
Assessing user simulation for dialog systems using human judges and automatic evaluation measures. Nat. Lang. Eng. 17(4): 511-540 (2011) - [j23]Katherine Forbes-Riley, Diane J. Litman:
Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor. Speech Commun. 53(9-10): 1115-1136 (2011) - [j22]Hua Ai, Diane J. Litman:
Comparing user simulations for dialogue strategy learning. ACM Trans. Speech Lang. Process. 7(3): 9:1-9:18 (2011) - [j21]Min Chi, Kurt VanLehn, Diane J. Litman, Pamela W. Jordan:
Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies. User Model. User Adapt. Interact. 21(1-2): 137-180 (2011) - [c112]Wenting Xiong, Diane J. Litman:
Automatically Predicting Peer-Review Helpfulness. ACL (2) 2011: 502-507 - [c111]Katherine Forbes-Riley, Diane J. Litman:
When Does Disengagement Correlate with Learning in Spoken Dialog Computer Tutoring? AIED 2011: 81-89 - [c110]Arthur Ward, Diane J. Litman:
Cohesion / Knowledge Interactions in Post-tutoring Reflective Text. AIED 2011: 578-581 - [c109]Wenting Xiong, Diane J. Litman:
Understanding Differences in Perceived Peer-Review Helpfulness using Natural Language Processing. BEA@ACL 2011: 10-19 - [c108]Arthur Ward, Diane J. Litman, Maxine Eskénazi:
Predicting Change in Student Motivation by Measuring Cohesion between Tutor and Student. BEA@ACL 2011: 136-141 - [c107]Michael Lipschultz, Diane J. Litman, Pamela W. Jordan, Sandra Katz:
Predicting Changes in Level of Abstraction in Tutor Responses to Students. FLAIRS 2011 - [c106]Arthur Ward, Diane J. Litman:
Adding Abstractive Reflection to a Tutorial Dialog System. FLAIRS 2011 - [c105]Katherine Forbes-Riley, Diane J. Litman:
Using Performance Trajectories to Analyze the Immediate Impact of User State Misclassification in an Adaptive Spoken Dialogue System. SIGDIAL Conference 2011: 216-226 - [c104]Joanna Drummond, Diane J. Litman:
Examining the Impacts of Dialogue Content and System Automation on Affect Models in a Spoken Tutorial Dialogue System. SIGDIAL Conference 2011: 312-318 - [i8]Michael J. Kearns, Diane J. Litman, Satinder Singh, Marilyn A. Walker:
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System. CoRR abs/1106.0676 (2011) - 2010
- [c103]Wenting Xiong, Diane J. Litman, Christian D. Schunn:
Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data. EDM 2010: 211-220 - [c102]Min Chi, Kurt VanLehn, Diane J. Litman:
Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics. Intelligent Tutoring Systems (1) 2010: 224-234 - [c101]Joanna Drummond, Diane J. Litman:
In the Zone: Towards Detecting Student Zoning Out Using Supervised Machine Learning. Intelligent Tutoring Systems (2) 2010: 306-308 - [c100]Michael Lipschultz, Diane J. Litman:
Correcting Scientific Knowledge in a General-Purpose Ontology. Intelligent Tutoring Systems (2) 2010: 374-376 - [c99]Katherine Forbes-Riley, Diane J. Litman:
Metacognition and Learning in Spoken Dialogue Computer Tutoring. Intelligent Tutoring Systems (1) 2010: 379-388 - [c98]Wenting Xiong, Diane J. Litman:
Identifying Problem Localization in Peer-Review Feedback. Intelligent Tutoring Systems (2) 2010: 429-431 - [c97]Min Chi, Kurt VanLehn, Diane J. Litman, Pamela W. Jordan:
Inducing Effective Pedagogical Strategies Using Learning Context Features. UMAP 2010: 147-158
2000 – 2009
- 2009
- [c96]Diane J. Litman, Kate Forbes-Riley:
Improving (Meta)Cognitive Tutoring by Detecting and Responding to Uncertainty. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2009 - [c95]Wenting Xiong, Diane J. Litman, G. Elisabeta Marai:
Analyzing Prosodic Features and Student Uncertainty using Visualization. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2009 - [c94]Hua Ai, Diane J. Litman:
Setting Up User Action Probabilities in User Simulations for Dialog System Development. ACL/IJCNLP 2009: 888-896 - [c93]Katherine Forbes-Riley, Diane J. Litman:
Adapting to Student Uncertainty Improves Tutoring Dialogues. AIED 2009: 33-40 - [c92]Pamela W. Jordan, Diane J. Litman, Michael Lipschultz, Joanna Drummond:
Evidence of Misunderstandings in Tutorial Dialogue and their Impact on Learning. AIED 2009: 125-132 - [c91]Diane J. Litman, Johanna D. Moore, Myroslava O. Dzikovska, Elaine Farrow:
Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains Modalities. AIED 2009: 149-156 - [c90]Min Chi, Pamela W. Jordan, Kurt VanLehn, Diane J. Litman:
To Elicit Or To Tell: Does It Matter? AIED 2009: 197-204 - [c89]Diane J. Litman, Mihai Rotaru, Greg Nicholas:
Classifying turn-level uncertainty using word-level prosody. INTERSPEECH 2009: 2003-2006 - [c88]Katherine Forbes-Riley, Diane J. Litman:
A user modeling-based performance analysis of a wizarded uncertainty-adaptive dialogue system corpus. INTERSPEECH 2009: 2467-2470 - [c87]Mihai Rotaru, Diane J. Litman:
Discourse Structure and Performance Analysis: Beyond the Correlation. SIGDIAL Conference 2009: 178-187 - [c86]Diane J. Litman, Katherine Forbes-Riley:
Spoken Tutorial Dialogue and the Feeling of Another's Knowing. SIGDIAL Conference 2009: 286-289 - 2008
- [j20]Joel R. Tetreault, Diane J. Litman:
A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems. Speech Commun. 50(8-9): 683-696 (2008) - [j19]Katherine Forbes-Riley, Mihai Rotaru, Diane J. Litman:
The relative impact of student affect on performance models in a spoken dialogue tutoring system. User Model. User Adapt. Interact. 18(1-2): 11-43 (2008) - [c85]Hua Ai, Diane J. Litman:
Assessing Dialog System User Simulation Evaluation Measures Using Human Judges. ACL 2008: 622-629 - [c84]Amruta Purandare, Diane J. Litman:
Analyzing Dialog Coherence Using Transition Patterns in Lexical and Semantic Features. FLAIRS 2008: 195-200 - [c83]Amruta Purandare, Diane J. Litman:
Content-Learning Correlations in Spoken Tutoring Dialogs at Word, Turn, and Discourse Levels. FLAIRS 2008: 439-443 - [c82]Katherine Forbes-Riley, Diane J. Litman, Mihai Rotaru:
Responding to Student Uncertainty During Computer Tutoring: An Experimental Evaluation. Intelligent Tutoring Systems 2008: 60-69 - [c81]Arthur Ward, Diane J. Litman:
Semantic Cohesion and Learning. Intelligent Tutoring Systems 2008: 459-469 - [c80]Pamela W. Jordan, Diane J. Litman:
Minimal Feedback During Tutorial Dialogue. Intelligent Tutoring Systems 2008: 671-673 - [c79]Katherine Forbes-Riley, Diane J. Litman, Scott Silliman, Amruta Purandare:
Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems. LREC 2008 - 2007
- [c78]Katherine Forbes-Riley, Diane J. Litman:
Investigating Human Tutor Responses to Student Uncertainty for Adaptive System Development. ACII 2007: 678-689 - [c77]Mihai Rotaru, Diane J. Litman:
The Utility of a Graphical Representation of Discourse Structure in Spoken Dialogue Systems. ACL 2007 - [c76]Arthur Ward, Diane J. Litman:
Dialog Convergence and Learning. AIED 2007: 262-269 - [c75]Katherine Forbes-Riley, Diane J. Litman, Amruta Purandare, Mihai Rotaru, Joel R. Tetreault:
Comparing Linguistic Features for Modeling Learning in Computer Tutoring. AIED 2007: 270-277 - [c74]Hua Ai, Diane J. Litman:
Knowledge consistent user simulations for dialog systems. INTERSPEECH 2007: 2697-2700 - [c73]Hua Ai, Joel R. Tetreault, Diane J. Litman:
Comparing User Simulation Models For Dialog Strategy Learning. HLT-NAACL (Short Papers) 2007: 1-4 - [c72]Katherine Forbes-Riley, Mihai Rotaru, Diane J. Litman, Joel R. Tetreault:
Exploring Affect-Context Dependencies for Adaptive System Development. HLT-NAACL (Short Papers) 2007: 41-44 - [c71]Joel R. Tetreault, Dan Bohus, Diane J. Litman:
Estimating the Reliability of MDP Policies: a Confidence Interval Approach. HLT-NAACL 2007: 276-283 - [c70]Hua Ai, Antoine Raux, Dan Bohus, Maxine Eskénazi, Diane J. Litman:
Comparing Spoken Dialog Corpora Collected with Recruited Subjects versus Real Users. SIGdial 2007: 124-131 - [c69]Kurt VanLehn, Pamela W. Jordan, Diane J. Litman:
Developing pedagogically effective tutorial dialogue tactics: experiments and a testbed. SLaTE 2007: 17-20 - [c68]Arthur Ward, Diane J. Litman:
Automatically measuring lexical and acoustic/prosodic convergence in tutorial dialog corpora. SLaTE 2007: 57-60 - 2006
- [j18]Diane J. Litman, Carolyn P. Rosé, Katherine Forbes-Riley, Kurt VanLehn, Dumisizwe Bhembe, Scott Silliman:
Spoken Versus Typed Human and Computer Dialogue Tutoring. Int. J. Artif. Intell. Educ. 16(2): 145-170 (2006) - [j17]Diane J. Litman, Julia Hirschberg, Marc Swerts:
Characterizing and Predicting Corrections in Spoken Dialogue Systems. Comput. Linguistics 32(3): 417-438 (2006) - [j16]Diane J. Litman, Katherine Forbes-Riley:
Correlations between dialogue acts and learning in spoken tutoring dialogues. Nat. Lang. Eng. 12(2): 161-176 (2006) - [j15]Diane J. Litman, Katherine Forbes-Riley:
Recognizing student emotions and attitudes on the basis of utterances in spoken tutoring dialogues with both human and computer tutors. Speech Commun. 48(5): 559-590 (2006) - [c67]Mihai Rotaru, Diane J. Litman:
Dependencies between Student State and Speech Recognition Problems in Spoken Tutoring Dialogues. ACL 2006 - [c66]Joel R. Tetreault, Diane J. Litman:
Using Reinforcement Learning to Build a Better Model of Dialogue State. EACL 2006 - [c65]Mihai Rotaru, Diane J. Litman:
Exploiting Discourse Structure for Spoken Dialogue Performance Analysis. EMNLP 2006: 85-93 - [c64]Amruta Purandare, Diane J. Litman:
Humor: Prosody Analysis and Automatic Recognition for F*R*I*E*N*D*S*. EMNLP 2006: 208-215 - [c63]Katherine Forbes-Riley, Diane J. Litman, Scott Silliman, Joel R. Tetreault:
Comparing Synthesized versus Pre-Recorded Tutor Speech in an Intelligent Tutoring Spoken Dialogue System. FLAIRS 2006: 509-514 - [c62]Arthur Ward, Diane J. Litman:
Cohesion and Learning in a Tutorial Spoken Dialog System. FLAIRS 2006: 533-538 - [c61]Hua Ai, Diane J. Litman, Katherine Forbes-Riley, Mihai Rotaru, Joel R. Tetreault, Amruta Purandare:
Using system and user performance features to improve emotion detection in spoken tutoring dialogs. INTERSPEECH 2006 - [c60]Rohit Kumar, Carolyn P. Rosé, Diane J. Litman:
Identification of confusion and surprise in spoken dialog using prosodic features. INTERSPEECH 2006 - [c59]Mihai Rotaru, Diane J. Litman:
Discourse structure and speech recognition problems. INTERSPEECH 2006 - [c58]Katherine Forbes-Riley, Diane J. Litman:
Modelling User Satisfaction and Student Learning in a Spoken Dialogue Tutoring System with Generic, Tutoring, and User Affect Parameters. HLT-NAACL 2006 - [c57]Joel R. Tetreault, Diane J. Litman:
Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning. HLT-NAACL 2006 - [c56]Diane J. Litman:
Discourse and Dialogue Processing in Spoken Intelligent Tutoring Systems. SIGDIAL Workshop 2006: 152 - [c55]Greg Nicholas, Mihai Rotaru, Diane J. Litman:
Exploiting Word-level Features for Emotion Prediction. SLT 2006: 110-113 - [p1]Veselin Stoyanov, Claire Cardie, Diane J. Litman, Janyce Wiebe:
Evaluating an Opinion Annotation Scheme Using a New Multi-Perspective Question and Answer Corpus. Computing Attitude and Affect in Text 2006: 77-91 - 2005
- [c54]Katherine Forbes-Riley, Diane J. Litman, Alison Huettner, Arthur Ward:
Dialogue-Learning Correlations in Spoken Dialogue Tutoring. AIED 2005: 225-232 - [c53]Katherine Forbes-Riley, Diane J. Litman:
Correlating student acoustic-prosodic profiles with student learning in spoken tutoring dialogues. INTERSPEECH 2005: 157-160 - [c52]Diane J. Litman, Katherine Forbes-Riley:
Speech recognition performance and learning in spoken dialogue tutoring. INTERSPEECH 2005: 161-164 - [c51]Mihai Rotaru, Diane J. Litman:
Using word-level pitch features to better predict student emotions during spoken tutoring dialogues. INTERSPEECH 2005: 881-884 - [c50]Mihai Rotaru, Diane J. Litman, Katherine Forbes-Riley:
Interactions between speech recognition problems and user emotions. INTERSPEECH 2005: 2481-2484 - [c49]Kate Forbes-Riley, Diane J. Litman:
Using Bigrams to Identify Relationships Between Student Certainness States and Tutor Responses in a Spoken Dialogue Corpus. SIGDIAL Workshop 2005: 87-96 - 2004
- [j14]Julia Hirschberg, Diane J. Litman, Marc Swerts:
Prosodic and other cues to speech recognition failures. Speech Commun. 43(1-2): 155-175 (2004) - [c48]Diane J. Litman, Katherine Forbes-Riley:
Predicting Student Emotions in Computer-Human Tutoring Dialogues. ACL 2004: 351-358 - [c47]Beatriz Maeireizo, Diane J. Litman, Rebecca Hwa:
Co-training for Predicting Emotions with Spoken Dialogue Data. ACL (Poster and Demonstration) 2004 - [c46]Diane J. Litman, Carolyn P. Rosé, Katherine Forbes-Riley, Kurt VanLehn, Dumisizwe Bhembe, Scott Silliman:
Spoken Versus Typed Human and Computer Dialogue Tutoring. Intelligent Tutoring Systems 2004: 368-379 - [c45]Joseph Beck, Ryan Shaun Baker, Albert T. Corbett, Judy Kay, Diane J. Litman, Tanja Mitrovic, Steven Ritter:
Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes. Intelligent Tutoring Systems 2004: 909 - [c44]Neil T. Heffernan, Peter M. Wiemer-Hastings, Gregory Aist, Vincent Aleven, Ivon Arroyo, Paul Brna, Mark G. Core, Martha W. Evens, Reva Freedman, Michael Glass, Arthur C. Graesser, Kenneth R. Koedinger, Pamela W. Jordan, Diane J. Litman, Evelyn Lulis, Helen Pain, Carolyn P. Rosé, Beverly Park Woolf, Claus Zinn:
Workshop on Dialog-Based Intelligent Tutoring Systems: State of the Art and New Research Directions. Intelligent Tutoring Systems 2004: 914 - [c43]Katherine Forbes-Riley, Diane J. Litman:
Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources. HLT-NAACL 2004: 201-208 - [c42]Diane J. Litman, Scott Silliman:
ITSPOKE: An Intelligent Tutoring Spoken Dialogue System. HLT-NAACL (Demonstration Papers) 2004 - [c41]Claire Cardie, Janyce Wiebe, Theresa Wilson, Diane J. Litman:
Low-Level Annotations and Summary Representations of Opinions for Multiperspective QA. New Directions in Question Answering 2004: 87-98 - [c40]Diane J. Litman, Kate Forbes-Riley:
Annotating Student Emotional States in Spoken Tutoring Dialogues. SIGDIAL Workshop 2004: 144-153 - 2003
- [c39]Mihai Rotaru, Diane J. Litman:
Exceptionality and Natural Language Learning. CoNLL 2003: 63-70 - [c38]Diane J. Litman, Katherine Forbes, Scott Silliman:
Towards Emotion Prediction in Spoken Tutoring Dialogues. HLT-NAACL 2003 - [c37]Janyce Wiebe, Eric Breck, Chris Buckley, Claire Cardie, Paul Davis, Bruce Fraser, Diane J. Litman, David R. Pierce, Ellen Riloff, Theresa Wilson, David S. Day, Mark T. Maybury:
Recognizing and Organizing Opinions Expressed in the World Press. New Directions in Question Answering 2003: 12-19 - [c36]Claire Cardie, Janyce Wiebe, Theresa Wilson, Diane J. Litman:
Combining Low-Level and Summary Representations of Opinions for Multi-Perspective Question Answering. New Directions in Question Answering 2003: 20-27 - 2002
- [j13]Satinder Singh, Diane J. Litman, Michael J. Kearns, Marilyn A. Walker:
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System. J. Artif. Intell. Res. 16: 105-133 (2002) - [j12]Diane J. Litman, Peter F. Patel-Schneider, Anil Mishra, James M. Crawford, Daniel Dvorak:
R++: Adding Path-Based Rules to C++. IEEE Trans. Knowl. Data Eng. 14(3): 638-658 (2002) - [j11]Diane J. Litman, Shimei Pan:
Designing and Evaluating an Adaptive Spoken Dialogue System. User Model. User Adapt. Interact. 12(2-3): 111-137 (2002) - [c35]Michael J. Kearns, Charles Lee Isbell Jr., Satinder Singh, Diane J. Litman, Jessica Howe:
CobotDS: A Spoken Dialogue System for Chat. AAAI/IAAI 2002: 425-430 - 2001
- [j10]Ingrid Zukerman, Diane J. Litman:
Natural Language Processing and User Modeling: Synergies and Limitations. User Model. User Adapt. Interact. 11(1-2): 129-158 (2001) - [c34]Diane J. Litman, Julia Hirschberg, Marc Swerts:
Predicting User Reactions to System Error. ACL 2001: 362-369 - [c33]Julia Hirschberg, Diane J. Litman, Marc Swerts:
Identifying User Corrections Automatically in Spoken Dialogue Systems. NAACL 2001 - [c32]Julia Hirschberg, Marc Swerts, Diane J. Litman:
Labeling Corrections and Aware Sites in Spoken Dialogue Systems. SIGDIAL Workshop 2001 - 2000
- [j9]Marilyn A. Walker, Candace A. Kamm, Diane J. Litman:
Towards developing general models of usability with PARADISE. Nat. Lang. Eng. 6(3&4): 363-377 (2000) - [c31]Satinder Singh, Michael J. Kearns, Diane J. Litman, Marilyn A. Walker:
Empirical Evaluation of a Reinforcement Learning Spoken Dialogue System. AAAI/IAAI 2000: 645-651 - [c30]Diane J. Litman, Shimei Pan:
Predicting and Adapting to Poor Speech Recognition in a Spoken Dialogue System. AAAI/IAAI 2000: 722-728 - [c29]Marilyn A. Walker, Irene Langkilde, Jeremy H. Wright, Allen L. Gorin, Diane J. Litman:
Learning to Predict Problematic Situations in a Spoken Dialogue System: Experiments with How May I Help You ? ANLP 2000: 210-217 - [c28]Diane J. Litman, Julia Hirschberg, Marc Swerts:
Predicting Automatic Speech Recognition Performance Using Prosodic Cues. ANLP 2000: 218-225 - [c27]Diane J. Litman, Michael S. Kearns, Satinder Singh, Marilyn A. Walker:
Automatic Optimization of Dialogue Management. COLING 2000: 502-508 - [c26]Julia Hirschberg, Diane J. Litman, Marc Swerts:
Generalizing prosodic prediction of speech recognition errors. INTERSPEECH 2000: 254-257 - [c25]Marc Swerts, Diane J. Litman, Julia Hirschberg:
Corrections in spoken dialogue systems. INTERSPEECH 2000: 615-618
1990 – 1999
- 1999
- [c24]Diane J. Litman, Marilyn A. Walker, Michael S. Kearns:
Automatic Detection of Poor Speech Recognition at the Dialogue Level. ACL 1999: 309-316 - [c23]Satinder Singh, Michael J. Kearns, Diane J. Litman, Marilyn A. Walker:
Reinforcement Learning for Spoken Dialogue Systems. NIPS 1999: 956-962 - [i7]Diane J. Litman, Shimei Pan:
Empirically Evaluating an Adaptable Spoken Dialogue System. CoRR cs.CL/9903008 (1999) - 1998
- [j8]Marilyn A. Walker, Diane J. Litman, Candace A. Kamm, Alicia Abella:
Evaluating spoken dialogue agents with PARADISE: Two case studies. Comput. Speech Lang. 12(4): 317-347 (1998) - [c22]Diane J. Litman, Shimei Pan, Marilyn A. Walker:
Evaluating Response Strategies in a Web-Based Spoken Dialogue Agent. COLING-ACL 1998: 780-786 - [c21]Candace A. Kamm, Diane J. Litman, Marilyn A. Walker:
From novice to expert: the effect of tutorials on user expertise with spoken dialogue systems. ICSLP 1998 - 1997
- [j7]Rebecca J. Passonneau, Diane J. Litman:
Discourse Segmentation by Human and Automated Means. Comput. Linguistics 23(1): 103-139 (1997) - [c20]Marilyn A. Walker, Diane J. Litman, Candace A. Kamm, Alicia Abella:
PARADISE: A Framework for Evaluating Spoken Dialogue Agents. ACL 1997: 271-280 - [c19]Marilyn A. Walker, Diane J. Litman, Candace A. Kamm, Alicia Abella:
Evaluating Interactive Dialogue Systems: Extending Component Evaluation to Integrated System Evaluation. Real Applications@ACL/EACL 1997 - [c18]Diane J. Litman, Anil Mishra, Peter F. Patel-Schneider:
Modeling Dynamic Collections of Interdependent Objects Using Path-Based Rules. OOPSLA 1997: 77-92 - [i6]Marilyn A. Walker, Diane J. Litman, Candace A. Kamm, Alicia Abella:
PARADISE: A Framework for Evaluating Spoken Dialogue Agents. CoRR cmp-lg/9704004 (1997) - 1996
- [j6]Premkumar T. Devanbu, Diane J. Litman:
Taxonomic Plan Reasoning. Artif. Intell. 84(1-2): 1-35 (1996) - [j5]Diane J. Litman:
Cue Phrase Classification Using Machine Learning. J. Artif. Intell. Res. 5: 53-94 (1996) - [c17]James M. Crawford, Daniel Dvorak, Diane J. Litman, Anil Mishra, Peter F. Patel-Schneider:
Path-Based Rules in Object-Oriented Programming. AAAI/IAAI, Vol. 1 1996: 490-497 - [i5]Diane J. Litman:
Cue Phrase Classification Using Machine Learning. CoRR cmp-lg/9609003 (1996) - [i4]Diane J. Litman:
Cue Phrase Classification Using Machine Learning. CoRR cs.AI/9609102 (1996) - 1995
- [c16]Diane J. Litman, Rebecca J. Passonneau:
Combining Multiple Knowledge Sources for Discourse Segmentation. ACL 1995: 108-115 - [c15]James M. Crawford, Daniel Dvorak, Diane J. Litman, Anil Mishra, Peter F. Patel-Schneider:
Device Representation and Reasoning with Affective Relations. IJCAI 1995: 1814-1820 - [i3]Diane J. Litman, Rebecca J. Passonneau:
Combining Multiple Knowledge Sources for Discourse Segmentation. CoRR cmp-lg/9505025 (1995) - 1994
- [c14]Diane J. Litman:
Classifying Cue Phrases in Text and Speech Using Machine Learning. AAAI 1994: 806-813 - [i2]Diane J. Litman:
Classifying Cue Phrases in Text and Speech Using Machine Learning. CoRR abs/cmp-lg/9405014 (1994) - [i1]Rebecca J. Passonneau, Diane J. Litman:
Intention-based Segmentation: Human Reliability and Correlation with Linguistic Cues. CoRR abs/cmp-lg/9405015 (1994) - 1993
- [j4]Julia Hirschberg, Diane J. Litman:
Empirical Studies on the Disambiguation of Cue Phrases. Comput. Linguistics 19(3): 501-530 (1993) - [c13]Rebecca J. Passonneau, Diane J. Litman:
Intention-Based Segmentation: Human Reliability and Correlation with Linguistic Cues. ACL 1993: 148-155 - 1992
- [j3]Bradley A. Goodman, Diane J. Litman:
On the Interaction between Plan Recognition and Intelligent Interfaces. User Model. User Adapt. Interact. 2(1-2): 83-115 (1992) - [c12]Diane J. Litman:
Integrating DL and Plan-based Paradigms. Description Logics 1992: 49-52 - [c11]Robert A. Weida, Diane J. Litman:
Terminological Reasoning with Constraint Networks and an Application to Plan Recognition. KR 1992: 282-293 - [c10]Kathleen R. McKeown, Diane J. Litman, Rebecca J. Passonneau:
Extracting Constraints on Word Usage from Large Text Corpora. HLT 1992 - 1991
- [c9]Steven Feiner, Diane J. Litman, Kathleen R. McKeown, Rebecca J. Passonneau:
Towards Coordinated Temporal Multimedia Presentations. AAAI Workshop on Intelligent Multimedia Interfaces 1991: 139-147 - [c8]Premkumar T. Devanbu, Diane J. Litman:
Plan-Based Terminological Reasoning. KR 1991: 128-138 - 1990
- [c7]Diane J. Litman, Julia Hirschberg:
Disambiguating Cue Phrases in Text and Speech. COLING 1990: 251-256
1980 – 1989
- 1987
- [j2]Diane J. Litman, James F. Allen:
A Plan Recognition Model for Subdialogues in Conversations. Cogn. Sci. 11(2): 163-200 (1987) - [c6]Julia Hirschberg, Diane J. Litman:
Now let's Talk about Now; Identifying Cue Phrases Intonationally. ACL 1987: 163-171 - [c5]Julia Hirschberg, Diane J. Litman, Janet B. Pierrehumbert, G. Ward:
Intonation and the Intentional Structure of Discourse. IJCAI 1987: 636-639 - 1986
- [j1]James F. Allen, Diane J. Litman:
Plans, goals, and language. Proc. IEEE 74(7): 939-947 (1986) - [c4]Diane J. Litman:
Understanding Plan Ellipsis. AAAI 1986: 619-625 - [c3]Diane J. Litman:
Linguistic Coherence: a Plan-Based Alternative. ACL 1986: 215-223 - 1984
- [c2]Diane J. Litman, James F. Allen:
A Plan Recognition Model for Clarification Subdialogues. COLING 1984: 302-311 - 1982
- [c1]James F. Allen, Alan M. Frisch, Diane J. Litman:
ARGOT: The Rochester Dialogue System. AAAI 1982: 66-70
Coauthor Index
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