Diane J. Litman

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Publications

(Also available via Google Scholar, Semantic Scholar)

2026

• Norah Almousa, Shayan Peyghambari Oskoui, Raquel Coelho, Gayle Rogers, Xiang Lorraine Li, and Diane Litman, Evaluating Feedback Focus and Pedagogical Adaptivity in LLM Feedback on Student Writing, Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con), Pittsburgh, PA, October.
• Richard Correnti, Lindsay Clare Matsumura, Elaine Lin Wang, Diane Litman, Zhexiong Liu, Haoran Zhang, Tianwen Li, Replicating and Expanding a Validity Argument for eRevise as a Formative Assessment: Empirical Support for Theories of Conceptual Change, Assessing Writing (Special issue on AI and Writing Assessment), Volume 70, October.
• Mohamed Elaraby and Diane Litman, ARC: Argument Representation and Coverage Analysis for Zero-Shot Long Document Summarization with Instruction Following LLMs, Proceedings 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. 3626–3643, Rabat, Morocco, March.
• Tianwen Li, Lindsay Clare Matsumura, Elaine Lin Wang, Diane Litman, Richard Correnti, and Zhexiong Liu, Evaluating the Potential of LLM-Generated Feedback to Develop Adaptive Expertise for Revisions, Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con), Pittsburgh, PA, October.
• Tianwen Li, Lindsay Clare Matsumura, Elaine Wang, Diane Litman, Zhexiong Liu, and Richard Correnti, AI-Assisted Evaluation of Revision Patterns in Young Students' Argument Writing, Frontiers in Education,
• Diane Litman, Zhexiong Liu, Tianwen Li, Lindsay Clare Matsumura, Richard Correnti, and Elaine Wang, Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision, Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con), Pittsburgh, PA, October.
• Zhexiong Liu and Diane Litman, Intention-Adaptive LLM Fine-Tuning for Text Revision Generation, Findings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. 1263-1281, Rabat, Morocco, March.
• Lindsay Clare Matsumura, Richard Correnti, Marguerite Walsh, Tianwen Li, Lindsay Clare Matsumura, and Diane Litman, AI-Driven Formative Assessment to Support Growth in Teachers’ Adaptive Expertise for Dialogic, Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con), Pittsburgh, PA, October.
• Yang Zhong, Yang Janet Liu, and Diane Litman, Revisiting Faithfulness Annotations for Long-form Summaries, Proceedings of the 20th Linguistic Annotation Workshop (LAW), pp. 158-172, San Diego, CA, July.

2025

• Yuya Asano, Sabit Hassan, Paras Sharma, Anthony Sicilia, Katherine Atwell, Diane Litman, and Malihe Alikhani, Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI, Proceedings 31st International Conference on Computational Linguistics (Coling) (Industry Track), Abu Dhabi, UAE, January.
• Yuya Asano, Diane Litman, Paras Sharma, Daniel Fritsch, Quentin King-Shepard, Timothy Nokes-Malach, Adriana Kovashka and Erin Walker, Multi-party Lexical Alignment in Collaborative Learning with a Teachable Robot, Proceedings 26th International Conference on Artificial Intelligence in Education (AIED), pp. 123-131, Palmero, Italy, July.
• Yuya Asano, Diane Litman, and Erin Walker, Can LLMs simulate the same correct solutions to free-response math problems as real students?, Proceedings Empirical Methods in Natural Language Processing (EMNLP), Suzhou, China, November.
• Mohamed Elaraby and Diane Litman, Lessons Learned in Assessing Student Reflections with LLMs, The 20th Workshop on Innovative Use of NLP for Building Educational Applications, Vienna, Austria, July-August.
• Sean Kelly, Yang Zhong, Gizem Guner, Cagla Celik, and Diane Litman, Changing Value Dimensions in Higher Education? Evidence from Job Postings in Education, Business, and the Social Sciences, Journal of School Choice: International Research and Reform
• Tianwen Li, Michelle Hong, Lindsay Clare Matsumura, Elaine Wang, Diane Litman, Zhexiong Liu, and Richard Correnti, Chain-of-Thought Prompting for Automated Evaluation of Revision Patterns in Young Student Writing, Artificial Intelligence in Measurement and Education Conference (Works in Progress), Pittsburgh, PA, October.
• Tianwen Li, Lindsay Clare Matsumura, Elaine L. Wang, Zhexiong Liu, Diane Litman, Richard Correnti, Designing Writing Feedback with Large Language Models: Developing Young Adolescents' Conceptual Understanding of Effective Revision, Proceedings International Society of the Learning Sciences Anuual Meeting (ISLS) (Poster), Helsinki, Finland
• Zhexiong Liu and Diane Litman, Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction, Findings of Empirical Methods in Natural Language Processing (EMNLP), Suzhou, China, November.
• Zhexiong Liu, Diane Litman, Elaine L Wang, Tianwen Li, Mason Gobat, Lindsay Clare Matsumura, Richard Correnti, eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback, Proceedings Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) (Demonstration Track), Albuquerque, New Mexico, April-May.
• Lindsay Clare Matsumura, Marguerite Walsh, Tianwen Li, Rip Correnti, Diane Litman, Exploring the Use of Generative AI to Identify Coachable Moments in Classroom Discussions, Proceedings International Society of the Learning Sciences Anuual Meeting (ISLS) (Poster), Helsinki, Finland.
• Muhsin Menekse, Alfa Satya Putra, Jiwon Kim, Ahmed Ashraf Butt, Mark McDaniel, Ido Davidesco, Michelle Cadieux, Joe Kim, Diane Litman, Enhancing Student Reflections with Natural Language Processing based Scaffolding: A Quasi-Experimental Study in a Large Lecture Course, Computers and Education: Artificial Intelligence 8.
• Paras Sharma, Daniel Fritsch, Yuya Asano, Quentin King-Shepard, Tyree Langley, Tristan Maidment, Diane Litman, Timothy Nokes-Malach, Adriana Kovashka, Nikki Lobczowski and Erin Walker, Beyond Static Measures: Temporal Analysis of Lexical Alignment in Human-Human Learning With a Teachable Robot, Proceedings 26th International Conference on Artificial Intelligence in Education (AIED), pp. 277-291, Palmero, Italy, July.
• Nhat Tran, Diane Litman, and Amanda Godley, Using Large Language Models to Analyze Students' Collaborative Argumentation in Classroom Discussion, Artificial Intelligence in Measurement and Education Conference, Pittsburgh, PA, October.
• Nhat Tran, Diane Litman, Benjamin Pierce, Richard Correnti and Lindsay Clare Matsumura, Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation, The 20th Workshop on Innovative Use of NLP for Building Educational Applications, Vienna, Austria, July-August.
• Yang Zhong and Diane Litman, Discourse-Driven Evaluation: Unveiling Factual Inconsistency in Long Document Summarization, Proceedings of Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistic (NAACL), Albuquerque, New Mexico, April-May.
• Yang Zhong and Diane Litman, A Tale of Evaluating Factual Consistency: Case Study on Long Document Summarization Evaluation, Findings of 63rd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 12511-12532, Vienna, Austria, July.
• Yang Zhong and Diane Litman, From Information to Insight: Leveraging LLMs for Open Aspect-Based Educational Summarization, Proceedings 63rd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1914-1947, Vienna, Austria, July.

2024

• Yuya Asano, Diane Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison, Timothy Nokes, Adriana Kovashka and Erin Walker, What metrics of participation balance predict outcomes of collaborative learning with a robot?, Proceedings Educational Data Mining, Atlanta, Georgia
• Rip Correnti, Elaine Lin Wang, Lindsay Claire Matsumura, Diane Litman, Zhexiong Liu and Tianwen Li, Supporting Students' Text-based Evidence Use via Formative Automated Writing and Revision Assessment, The Routledge International Handbook of Automated Essay Evaluation (Mark D. Shermis, Joshua Wilson, editors).
• Mohamed Elaraby, Diane Litman, Xiang Lorraine Li, Ahmed Magooda, Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking, Findings of the Conference on Empirical Methods in Natural Language Processings (EMNLP), Miami, FL.
• Mohamed Elaraby, Huihui Xu, Morgan Gray, Kevin Ashley, and Diane Litman, Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions, The 4th Workshop on Human Evaluation of NLP Systems (HumEvaL, at LREC/COLING), Turin, Italy.
• Kim, J., Satya Putra, A., Anwar, S., Butt, A. A., Magooda, A., Litman, D., and Menekse, M., The Role of Reflection-Informed Learning and Instruction in an Introductory Physics Course for Engineering and Science Students, Proceedings of the 52nd Annual Conference of SEFI, Lausanne, Switzerland.
• Tianwen Li, Zhexiong Liu, Lindsay Clare Matsumura, Elaine Wang, Diane Litman and Richard Correnti, Using Large Language Models to Assess Young Students' Writing Revisions, 19th Workshop on Innovative Use of NLP for Building Educational Applications, Mexico City, Mexico.
• Nhat Tran and Diane Litman, Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy.
• Nhat Tran, Benjamin Pierce, Diane Litman, Richard Correnti, and Lindsay Clare Matsumura, Analyzing Large Language Models for Classroom Discussion Assessment, Proceedings Educational Data Mining, Atlanta, Georgia
• Nhat Tran, Benjamin Pierce, Diane Litman, Richard Correnti, and Lindsay Clare Matsumura, Multi-Dimensional Performance Analysis of Large Language Models for Classroom Discussion Assessment, Journal of Educational Data Mining, 16(2), pp. 304-335.
• Yang Zhong, Mohamed Elaraby, Diane Litman, Ahmed Ashraf Butt, and Muhsin Menekse, ReflectSumm: A Benchmark for Course Reflection Summarization, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy.

2023

• Tazin Afrin and Diane Litman, Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing, Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Dubrovnik, Croatia.
• Tazin Afrin and Diane Litman, Learning from Auxiliary Sources in Argumentative Revision Classification, 24th International Conference on Artificial Intelligence in Education (AIED), Tokyo, Japan.
• Yuya Asano, Diane Litman, Mingzhi Yu, Nikki Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker, Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport 24th International Conference on Artificial Intelligence in Education (AIED), Tokyo, Japan. (Best Poster Award)
• Mohamad Elaraby, Yang Zhong, and Diane Litman, Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking, Findings of the 61st Annual meeting of the Association for Computational Linguistics (ACL), Toronto, Canada.
• Zhexiong Liu, Mohamed Elarby, Yang Zhong, and Diane Litman, Overview of ImageArg-2023: The first shared task in multimodal argument mining, 10th Workshop on Argument Mining (at EMNLP), Singapore.
• Zhexiong Liu, Diane Litman, Elaine Wang, Lindsay Matsumura, and Richard Correnti, Predicting the Quality of Revisions in Argumentative Writing, 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), Toronto, Canada.
• Lindsay Clare Matsumura, Elaine Lin Wang, Richard Correnti and Diane Litman. Tasks and Feedback: An Exploration of Students' Opportunity to Develop Adaptive Expertise for Analytic Text-Based Writing, Assessing Writing 55.
• Susannah B. F. Paletz, Diane Litman, Valerie Karuzis, Kelly M. Jones, and Zahra Rahimi, Speaking Similarly: Team Personality Composition and Acoustic-Prosodic Entrainment, Small Group Research.
• Nhat Tran, Benjamin Pierce, Diane Litman, Richard Correnti, Lindsay Clare Matsumura, Utilizing Natural LanguageProcessing for Automated Assessment of Classroom Discussion, 24th International Conference on Artificial Intelligence in Education (AIED), Tokyo, Japan.
• Yang Zhong and Diane J. Litman, STRONG -- Structure Controllable Legal Opinion Summary Generation, Findings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), Bali, Indonesia, November.

2022

• Yuya Asano, Diane Litman, Mingzhi Yu, Nikki Lobczowski, Timothy Nokes-Malach, Adriana Kovashka and Erin Walker, Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions, Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pp. 615-622, Edinburgh, UK, September.
• Richard Correnti, Lindsay Clare Matsumura, Elaine Wang, Diane Litman, Haoran Zhang, Building a Validity Argument for an Automated Writing Evaluation System (eRevise) as a Formative Assessment, Computers and Education Open.
• Mohamed Elaraby and Diane Litman, ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining, Proceedings 29th International Conference on Computational Linguistics, pp. 6187-6194, Gyeongju, Republic of Korea, October.
• Omid Kashefi, Tazin Afrin, Meghan Dale, Christopher Olshefski, Amanda Godley, Diane Litman, Rebecca Hwa, ArgRewrite V.2: an Annotated Argumentative Revisions Corpus, Language Resources and Evaluation, Vol. 56, pp. 881-915.
• Diane Litman, Tazin Afrin, Omid Kashefi, Christopher Olshefski, Amanda Godley and Rebecca Hwa, An Automated Writing Evaluation System for Supporting Self-Monitored Revising, Proceedings of the 23rd International Conference on Artificial Intelligence in Education, Durham, UK, pp. 581-587, July.
• Zhexiong Liu, Meiqi Guo, Yue Dai, and Diane Litman, ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining, The 9th Workshop on Argument Mining (at COLING), pp. 1-18, South Korea, October. (Best Paper Award)
• Ahmed Magooda, Diane Litman, Ahmed Ashraf Butt, Muhsin Menekse, Improving the Quality of Students' Written Reflections using Natural Language Processing: Model Design and Classroom Evaluation, Proceedings of the 23rd International Conference on Artificial Intelligence in Education, Durham, UK, pp. 519-525, July.
• Tristan Maidment, Mingzhi Yu, Nikki Lobczowski, Adriana Kovashka, Erin Walker, Diane Litman and Timothy Nokes-Malach, Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions, Proceedings 15th International Conference on Educational Data Mining (EDM), Durham, UK, July.
• Lindsay Clare Matsumura, Elaine L. Wang, Richard Correnti, and Diane Litman, Designing Automated Writing Evaluation Systems for Ambitious Instruction and Classroom Integration, Artificial Intelligence in STEM Education, pp. 195-208, CRC Press.
• McCarthy, K. S., Crossley, S. A., Meyers, K., Boser, U., Allen, L. K., Chaudhri, V. K., Collins-Thompson, K., Mello, S., De Choudhury, M., Garg, K., Goel, A., Gosha, K., Heffernan, N., Hooper, M. A., Hyman, E., Jarratt, D. C., Khalil, D., Kizilcec, R. F., Litman, D., Malatinszky, A., Marks, K., McNamara, D. S., Menko, R., Palermo, C., Porcaro, D., Roscoe, R., Shapiro, S., Khanh-Phoung, T., Trumbore, A. M., White, C., Wong, W., Yang, D., & Zampieri, M. (in press). Toward more effective and equitable learning: Identifying barriers and solutions for the future of online education. Technology, Mind, & Behavior, Vol 3, Issue 1.
• Christina Steele, Nikki G. Lobczowski, Teresa Davison, Mingzhi Yu, Michael Diamond, Adriana Kovashka, Diane Litman, Timothy Nokes-Malach, and Erin Walker, It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner, Proceedings of the 23rd International Conference on Artificial Intelligence in Education (Late-Breaking Contribution), Durham, UK, pp. 604-607, July.
• Nhat Tran, Malihe Alikhani, and Diane Litman. How to Ask for Donations? Learning User-Specific Persuasive Dialogue Policies through Online Interactions, Proceedings 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Barcelona, Spain, pp. 12-22, July. (Best Student Paper Award)
• Nhat Tran and Diane Litman, Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift, Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pp. 368-375, Edinburgh, UK, September.
• Elaine Lin Wang, Lindsay Clare Matsumura, Diane Litman, Richard Correnti, Haoran Zhang, Zahra Rahimi, Zahid Kisa, Ahmed Magooda, Emily Howe, and Rafael Quintana, Contributions to Research on Automated Writing Scoring and Feedback Systems. Santa Monica, CA: RAND Corporation.
• Yang Zhong and Diane Litman, Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions, Natural Legal Language Processing Workshop (at EMNLP). Abu Dhabi, UAE, December.

2021

• Tazin Afrin, Omid Kashefi, Christopher Olshefski, Diane Litman, Rebecca Hwa and Amanda Godley, Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI'21), pages 1-13, May.
• Sonia Cromp and Diane Litman, Essay Revision and Corresponding Grade Change as Captured by Text Similarity and Revision Purposes, Proceedings Workshop for Undergraduates in Educational Data Mining and Learning Engineering (at EDM), June. (Best Paper Award)
• Mohamed Elaraby and Diane Litman, Self-trained Pretrained Language Models for Evidence Detection, Proceedings 8th Workshop on Argument Mining (at EMNLP), Punta Cana, Dominican Republic, pp. 142-147, November.
• Diane Litman, Haoran Zhang, Richard Correnti, Lindsay Matsumura and Elaine Wang, A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing, Proceedings of 22nd International Conference on Artificial Intelligence in Education (AIED), pages 255-267, June.
• Ahmed Magooda, Diane Litman and Mohamed Elaraby, Exploring Multitask Learning for Low-Resource Abstractive Summarization, Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic, pp. 1652-1661, November.
• Ahmed Magooda and Diane Litman, Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization, Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic, pp. 2043-2052, November.
• Tristan Maidment, Mingzhi Yu, Erin Walker, Adriana Kovashka, Diane Litman and Timothy Nokes-Malach, Capturing Student-Robot Interactions for a Data-Driven Educational Dialogue RL Environment, Workshop on Reinforcement Learning for Education (at EDM), June.
• Nhat Tran and Diane Litman, Multi-task Learning in Argument Mining for Persuasive Online Discussions, Proceedings 8th Workshop on Argument Mining (at EMNLP), Punta Cana, Dominican Republic, pp. 148-153, November.
• Muheng Yan, Yu-Ru Lin and Diane Litman, Argumentatively Phony? Detecting Misinformation via Argument Mining, Workshop on Artificial Intelligence-enabled Cybersecurity Analytics (at ACM KDD), August.
• Mingzhi Yu and Diane Litman, Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT, The International FLAIRS Conference Proceedings, 34, May.
• Haoran Zhang and Diane Litman, Essay Quality Signals as Weak Supervision for Source-based Essay Scoring, 16th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), pp. 85-96, April.

2020

• Tazin Afrin, Elaine Lin Wang, Diane Litman, Lindsay Clare Matsumara, and Richard Correnti, Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing, Proceedings 15th Workshop on Innovative Use of NLP for Building Educational Applications, July.
• Richard Correnti, Lindsay Clare Matsumura, Elaine Wang, Diane Litman, Zahra Rahimi, and Zahid Kisa. Automated Scoring of Students' Use of Text Evidence in Writing, Reading Research Quarterly, 55(3), pp. 493-520.
• Diane Litman, Discourse for Argument Mining, and Argument Mining as Discourse, 1st Workshop on Computational Approaches to Discourse (CODI) at EMNLP, Online, November. (Extended Abstract)
• Luca Lugini and Diane Litman, Contextual Argument Component Classification for Class Discussions, Proceedings of the 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain (Online), December.
• Luca Lugini, Christopher Olshefski, Ravneet Singh, Diane Litman and Amanda Godley, Discussion Tracker: Supporting Teacher Learning about Students' Collaborative Argumentation in High School Classrooms, Proceedings of the 28th International Conference on Computational Linguistics (COLING), Barcelona, Spaine (Online), December. (System Demonstrations)
• Ahmed Magooda and Diane Litman, Abstractive Summarization for Low Resource Data using Domain Transfer and Data Synthesis, Proceedings 33rd International FLAIRS Conference, North Miami Beach, Florida, May.
• Christopher Olshefski, Luca Lugini, Ravneet Singh, Diane Litman, and Amanda Godley, The Discussion Tracker Corpus of Collaborative Argumentation, Proceedings of the 12th International Conference on Language Resources and Evaluation, Marseille, France, May.
• Zahra Rahimi and Diane Litman, Entrainment2Vec: Embedding Entrainment for Multi-party Dialogues, Proceedings Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, NY, February.
• Elaine Lin Wang, Lindsay Clare Matsumura, Richard Correnti, Diane Litman, Haoran Zhang, Emily Howe, Ahmed Magooda, Rafael Quintana, eRevis(ing): Students' Revision of Text Evidence Use in an Automated Writing Evaluation System, Assessing Writing 44.
• Haoran Zhang and Diane Litman, Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring, Proceedings of the 58th Annual meeting of the Association for Computational Linguistics (ACL), July.

2019

• Tazin Afrin and Diane Litman, Identifying Editor Roles in Argumentative Writing from Student Revision Histories, Proceedings of the 20th International Conference on Artificial Intelligence in Education (AIED), Chicago, Illinois, June.
• Emer Gilmartin, Mingzhu Yu, Diane Litman, Comparing Speech, Silence, and Overlap Dynamics in a Task-based Game and Casual Conversation, Proceedings International Congress of Phonetic Sciences (ICPhS), Melbourne, Australia, August.
• Mingzhi Yu, Emer Gilmartin, and Diane Litman. Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue, Proceedings Interspeech, Graz, Austria, September.
• Mingzhi Yu, Diane Litman, and Susannah Paletz. Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics and Perception of Team Social Outcomes, Proceedings 32nd International FLAIRS Conference, Sarasota, Florida, May.
• H. Zhang, A. Magooda, D. Litman, R. Correnti, E. Wang, L.C. Matsmura, E. Howe, R. Quintana, eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing, Proceedings Thirty-First AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-19), Honolulu, Hawaii, January.

2018

• Tazin Afrin and Diane Litman, Annotation and Classification of Sentence-level Revision Improvement, Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, pp. 240-246, New Orleans, LA, June. (short paper)
• Diane Litman, Helmer Strik, and Gad S. Lim, Speech Technologies and the Assessment of Second Language Speaking: Approaches, Challenges, and Opportunities, Language Assessment Quarterly, 15(3), pp. 294-309.
• Luca Lugini and Diane Litman, Argument Component Classification for Classroom Discussions, Proceedings of the 5th Workshop on Argument Mining, pp. 57-67, Brussels, Belgium, Nov.
• Luca Lugini, Diane Litman, Amanda Godley, and Christopher Olshefski, Annotating Student Talk in Text-based Classroom Discussions, Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, pp. 110-116, New Orleans, LA, June. (short paper)
• Wencan Luo, Fei Liu, Zitao Liu and Diane Litman, A Novel ILP Framework for Summarizing Content with High Lexical Variety, Natural Language Engineering, Volume 24, Issue 6, pp. 887-920.
• Huy V. Nguyen and Diane J. Litman, Argument Mining for Improving the Automated Scoring of Persuasive Essays, Proceeding of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, LA, pp. 5892-5899, February.
• S. B. F. Paletz, Z. Rahimi, & D. Litman. An Exploration of Personality Composition Antecedents of Acoustic-Prosodic Convergence. In: N. Lehmann-Willenbrock (Chair), Behavioral team interactions: New evidence from the field and the lab. Paper to be presented at the Interdisciplinary Network for Group Research (INGRoup) Conference, Bethesda, July.
• Zahra Rahimi and Diane Litman, Weighting Model Based on Group Dynamics to Measure Convergence in Multi-party Dialogue, Proceedings 19th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL), pps. 385-390, Melbourne, Australia, July. (short paper)
• Zahra Rahimi, Diane Litman and Susannah Paletz, Acoustic-Prosodic Entrainment in Multi-party Spoken Dialogues: Does Simple Averaging Extend Existing Pair Measures Properly? In Advanced Social Interaction with Agents, Maxine Eskenazi, Laurence Devillers, and Joseph Mariani, editors, pages 169-177, Springer.
• Haoran Zhang and Diane Litman, Co-Attention Based Neural Network for Source-Dependent Essay Scoring, Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, pp. 399-409, New Orleans, LA, June. (GitHub)

2017

• Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan and Diane J. Litman, Using Discourse Signals for Robust Instructor Intervention Prediction, Proceedings 31st AAAI Conference on Artificial Intelligence, pp. 3415-3421, San Francisco, CA, February.
• Xiangmin Fan, Wencan Luo, Muhsin Menekse, Diane Litman, and Jingtao Wang, Scaling Reflection Prompts in Large Classrooms via Mobile Interfaces and Natural Language Processing, Proceedings of the 22nd International Conference on Intelligent User Interfaces (ACM IUI), pp. 363-374, Limassol, Cyprus, March.
• Jiakun Fang, David Grunberg, Diane Litman and Ye Wang, Discourse Analysis of Lyric and Lyric-based Classification of Music, Proceedingsn 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China, October.
• Luca Lugini and Diane Litman, Predicting Specificity in Classroom Discussion, Proceedings of the Twelfth Workshop on Innovative Use of NLP for Building Educational Applications, pp. 52-61, Copenhagen, Denmark, September.
• Ahmed Magooda and Diane Litman, Syntactic and Semantic Features for Human Like Judgement in Spoken CALL, Proceedings Seventh ISCA Workshop on Speech and Language Technology in Education (SLaTE), Stockholm, Sweden, August.
• Menekse, M., Luo, W., Fan, X., Wang, J., and Litman, D. Exploring the Reflection and Feedback Cycle to Enhance Engineering Students' Learning. Accepted as a Stand-Alone Paper presentation at the National Association of Research in Science Teaching (NARST) meeting, San Antonio, TX, April.
• Huy Nguyen, Wenting Xiong, and Diane Litman, Iterative Design and Classroom Evaluation of Automated Formative Feedback for Improving Peer Feedback Localization, International Journal of Artificial Intelligence in Education, Volume 27, Issue 3, pp. 582-622.
• L. Ouyang, M. Woodworth, S. B. F. Paletz, and D. Litman, Will different degrees help you succeed? The role of educational diversity on team performance. Poster presented at the American Psychological Association Conference, Washington DC, August.
• Paletz, S. B. F., Rahimi, Z., & Litman, D. A test of team acoustic-prosodic entrainment measures and social factors. In: S. B. F. Paletz (Chair), Coming together: Synchrony, convergence, and proximity in interaction. Paper to be presented at the Interdisciplinary Network for Group Research (INGRoup) Conference, St. Louis, MO, July.
• Zahra Rahimi, Anish Kumar, Diane Litman, Susannah Paletz and Mingzhi Yu, Entrainment in Multi-Party Spoken Dialogues at Multiple Linguistic Levels, Proceedings Interspeech, pp. 1696-1700, Stockholm, Sweden, August.
• Zahra Rahimi, Diane Litman, Richard Correnti, Elaine Wang, and Lindsay Clare Matsumara, Assessing Student's Use of Evidence and Organization in Response-to-Text Writing: Using Natural Language Processing for Rubric-Based Automated Scoring, International Journal of Artificial Intelligence in Education, 27(4), pp. 694-728.
• Zahra Rahimi, Diane Litman and Susannah Paletz, Acoustic-Prosodic Entrainment in Multi-Party Spoken Dialogues: Does Simple Averaging Extend Existing Pair Measures Properly? Proceedings International Workshop on Spoken Dialogue Systems Technology (IWSDS), Farmington, PA, June.
• Fan Zhang, Homa B. Hashemi, Rebecca Hwa and Diane Litman, A Corpus of Annotated Revisions for Studying Argumentative Writing, Proceedings Annual Meeting of the Association for Computational Linguistics, pp. 1568-1578, Vancouver, Canada, July/August.
• Fan Zhang and Diane Litman, A Joint Identification Approach for Argumentative Writing Revisions, arXiv:1703.00089 [cs.CL].
• Haoran Zhang and Diane Litman, Word Embedding for Response-To-Text Assessment of Evidence, Proceedings Student Research Workshop of the Annual Meeting of the Association for Computational Linguistics, pp. 75-81, Vancouver, Canada, July.

2016

• Kate Forbes-Riley, Fan Zhang and Diane Litman. Extracting PDTB Discourse Relations from Student Essays, Proceedings 17th Annual SIGdial Meeting on Discourse and Dialogue, pp. 117-127, Los Angeles, CA, September.
• Diane Litman. Natural Language Processing for Enhancing Teaching and Learning, Proceedings 30th Conference on Artificial Intelligence (AAAI), pp. 4170-4176, Phoenix, AZ, February.
• Diane Litman. Temporal Argument Mining for Writing Assistance Dagstuhl Seminar on Natural Language Argumentation, Germany, April.
• Diane Litman, Susannah Paletz, Zahra Rahimi, Stefani Allegretti and Caitlin Rice, The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues,, Proceedings Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1421-1431, Austin, Texas, November. (data used in the paper)
• Diane Litman, Steve Young, Mark Gales, Kate Knill, Karen Ottewell, Rogier van Dalen and David Vandyke, Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English, Proceedings 17th Annual SIGdial Meeting on Discourse and Dialogue, pp. 270-275, Los Angeles, CA, September. (short paper)
• Wencan Luo and Diane Litman, Determining the Quality of a Student Reflective Response, Proceedings 29th International FLAIRS Conference, pp. 226-231, Key Largo, FL, May. (Best Student Paper Award Nominee)
• Wencan Luo, Fei Liu and Diane Litman, An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses, Proceedings of the 26th International Conference on Computational Linguistics (COLING), pp. 53-63, Osaka, Japan, December.
• Wencan Luo, Fei Liu, Zitao Liu and Diane Litman, Automatic Summarization of Student Course Feedback, Proceedings Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT), pp. 80-85, San Diego, CA, June. (short paper)
• Huy Nguyen and Diane Litman, Improving argument mining in student essays by learning and exploiting argument indicators versus essay topics, Proceedings 29th International FLAIRS Conference, pp. 485-490, Key Largo, FL, May. (Best Student Paper Award)
• Huy V. Nguyen and Diane J. Litman, Context-aware Argumentative Relation Mining, Proceedings 54th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1127-1137, Berlin, Germany, August.
• Huy Nguyen, Wenting Xiong and Diane Litman. Instant Feedback for Increasing the Presence of Solutions in Peer Reviews, Proceedings Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations (NAACL-HLT), pp. 6-10, San Diego, CA, June. (demo paper)
• Zahra Rahimi and Diane Litman, Automatically Extracting Topical Components for a Response-to-Text Writing Assessment, Proceedings 11th Workshop on Innovative Use of NLP for Building Educational Applications (NAACL Workshop), pp. 277-282, San Diego, CA, June. (short paper)
• Fan Zhang and Diane Litman, Using Context to Predict the Purpose of Argumentative Writing Revisions, Proceedings Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT), pp. 1424-1430, San Diego, CA, June. (short paper)
• Fan Zhang, Diane Litman and Katherine Forbes-Riley, Inferring Discourse Relations from PDTB-style Discourse Labels for Argumentative Revision Classification, Proceedings of the 26th International Conference on Computational Linguistics (COLING), pp. 2615-2624, Osaka, Japan, December.
• Fan Zhang, Rebecca Hwa, Diane Litman and Homa B. Hashemi, ArgRewrite: A Web-based Revision Assistant for Argumentative Writings. Proceedings Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations (NAACL-HLT), pp. 37-41, San Diego, CA, June. (demo paper)

2015

• Xiangmin Fan, Wencan Luo, Muhsin Menekse, Diane Litman, and Jingtao Wang, CourseMIRROR: Enhancing Large Classroom Instructor-Student Interactions via Mobile Interfaces and Natural Language Processing, Proceedings ACM CHI (Works-in-Progress), pp. 1473-1478, Seoul, Korea, April. (extended abstract)
• Wencan Luo, Xiangmin Fan, Muhsin Menekse, Jingtao Wang, and Diane Litman. Enhancing Instructor-Student and Student-Student Interactions with Mobile Interfaces and Summarization, Proceedings NAACL HLT Companion Volume , pp. 16-20, Denver, Colorado, June. (demo)
• Wencan Luo and Diane Litman, Summarizing Student Responses to Reflection Prompts, Proceedings Empirical Methods in Natural Language Processin (EMNLP), Lisbon, Portugal, September. (short paper) (data used in the paper)
• Huy V. Nguyen and Diane J. Litman, Extracting argument and domain words for identifying argument components in texts, Proceedings 2nd Workshop on Argument Mining (NAACL Workshop), pp. 22-28, Denver, Colorado, June.
• Zahra Rahimi, Diane Litman, Elaine Wang and Richard Correnti, Incorporating Coherence of Topics as a Criterion in Automatic Response-to-Text Assessment of the Organization of Writing, Proceedings 10th Workshop on Innovative Use of NLP for Building Educational Applications (NAACL Workshop), pp 20-30, Denver, Colorado, June.
• Fan Zhang and Diane Litman, Annotation and Classification of Argumentative Writing Revisions, Proceedings 10th Workshop on Innovative Use of NLP for Building Educational Applications (NAACL Workshop), pp. 133-143, Denver, Colorado, June.

2014

• Mohammad H. Falakmasir, Kevin D. Ashley, Christian D. Schunn, and Diane J. Litman, Identifying Thesis and Conclusion Statements in Student Essays to Scaffold Peer Review, Proceedings 12th International Conference on Intelligent Tutoring Systems (ITS), Honolulu, HI, June. (short paper)
• Michael Lipschultz and Diane Litman, Modeling Student Benefit from Illustrations and Graphs, Proceedings 12th International Conference on Intelligent Tutoring Systems (ITS), pp. 436-441, Honolulu, HI, June. (short paper)
• Michael Lipschultz, Diane Litman, Sandra Katz, Patricia Albacete, and Pamela Jordan, Predicting Semantic Changes in Abstraction in Tutor Responses to Students, International Journal of Learning Technology, Volume 9, Number 3, pp. 281-303.
• Diane Litman and Katherine Forbes-Riley, Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States. Proceedings 15th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL), Philadelpha, PA, June. (short paper)
• Huy V. Nguyen and Diane J. Litman, Improving Peer Feedback Prediction: The Sentence Level is Right. Proceedings 9th Workshop on Innovative Use of NLP for Building Educational Applications (ACL Workshop), Baltimore, MD, June.
• Huy Nguyen, Wenting Xiong and Diane Litman, Classroom Evaluation of a Scaffolding Intervention for Improving Peer Review Localization, Proceedings 12th International Conference on Intelligent Tutoring Systems (ITS), pp. 272-282, Honolulu, HI, June.
• Nathan Ong, Diane Litman and Alexandra Brusilovsky, Ontology-Based Argument Mining and Automatic Essay Scoring. Proceedings First Workshop on Argumentation Mining (ACL Workshop), Baltimore, MD, June. (errata)
• Zahra Rahimi, Diane Litman, Richard Correnti, Lindsay Clare Matsumura, Elaine Wang and Zahid Kisa, Automatic Scorring of an Analytical Response-To-Text Assessment, Proceedings 12th International Conference on Intelligent Tutoring Systems (ITS), pp. 601-610, Honolulu, HI, June.
• Wenting Xiong and Diane Litman, Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews, Proceedings COLING: 25th International Conference on Computational Linguistics, pp. 1985-1995, Dublin, Ireland, August.
• Fan Zhang and Diane Litman, Sentence-level Rewriting Detection, Proceedings 9th Workshop on Innovative Use of NLP for Building Educational Applications (ACL Workshop), Baltimore, MD, June.

2013

• Kate Forbes-Riley and Diane Litman, When Does Disengagement Correlate with Performance in Spoken Dialog Computer Tutoring? , International Journal of Artificial Intelligence in Education, 22 (2) "Best of AIED 2011 - Part 2", pages 19-41.
• Pamela Jordan, Patricia Albacete, Michael J. Ford, Sandra Katz, Michael Lipschultz, Diane Litman, Scott Silliman and Christine Wilson, Interactive Event: The Rimac Tutor - A Simulation of the Highly Interactive Nature of Human Tutorial Dialogue, Proceedings 16th International Conference on Artificial Intelligence in Education (AIED), pages 928-929, Memphis, TN, July. (demo paper)
• Sandra Katz, Patricia Albacete, Michael J. Ford, Pamela Jordan, Michael Lipschultz, Diane Litman, Scott Silliman and Christine Wilson. Pilot Test of a Natural-Language Tutoring System for Physics that Simulates the Highly Interactive Nature of Human Tutoring. Proceedings 16th International Conference on Artificial Intelligence in Education (AIED), pages 636-639, Memphis, TN, July. (poster paper)
• Michael Lipschultz and Diane Litman. Illustrations or Graphs: Some Students Benefit from One over the Other. Proceedings 16th International Conference on Artificial Intelligence in Education (AIED), pages 746-749, Memphis, TN, July. (poster paper)
• Diane Litman. Enhancing the Effectiveness of Spoken Dialogue for STEM Education. Proceedings Workshop on Speech and Language Technology in Education (SLaTE), pp. 13-14, Grenoble, France. (extended abstract)
• Diane Litman and Kate Forbes-Riley. Towards Improving (Meta)cognition by Adapting to Student Uncertainty in Tutorial Dialogue. International Handbook of Metacognition and Learning Technologies, Roger Azevedo and Vincent Aleven (eds), Springer International Handbooks of Education 26, pages 385-396.
• Wencan Luo, Diane Litman and Joel Chan. Reducing Annotation Effort on Unbalanced Corpus based on Cost Matrix. Proceedings of the NAACL HLT Student Research Workshop, Atlanta, GA, June.
• Huy V. Nguyen and Diane J. Litman. Identifying Localization in Peer Reviews of Argument Diagrams. Proceedings 16th International Conference on Artificial Intelligence in Education (AIED), pages 91-100, Memphis, TN, July.
• Huy V. Nguyen and Diane J. Litman. Predicting Low vs. High Disparity between Peer and Expert Ratings in Peer Reviews of Physics Lab Reports. Proceedings 16th International Conference on Artificial Intelligence in Education (AIED), pages 687-691, Memphis, TN, July. (poster paper)
• Jesse Thomason and Diane Litman. Differences in User Responses to a Wizard-of-Oz versus Automated System. Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Atlanta, Georgia, June. (short paper)
• Jesse Thomason, Huy V. Nguyen and Diane Litman. Prosodic Entrainment and Tutoring Dialogue Success. Proceedings 16th International Conference on Artificial Intelligence in Education (AIED), pages 750-753, Memphis, TN, July. (poster paper)
• Arthur Ward and Diane Litman, Using Reflective Text to Improve Qualitative Physics Tutoring, International Journal of Learning Technology 8(4), pp. 404-425.
• Wenting Xiong and Diane Litman. Evaluating Topic-Word Review Analysis for Understanding Student Peer Review Performance. Proceedings 6th International Conference on Educational Data Mining (EDM 2013), pages 200-207, Memphis, TN, July.

2012

• Abeer Alwan, Maxine Eskenazi, Diane Litman, Martin Russell, and Klaus Zechner. Speech and Language Technologies for STEM (Science, Technology, Engineering and Mathematics) Education, IEEE Signal Processing Society - SLTC Newsletter, August.
• Kate Forbes-Riley and Diane Litman. Adapting to Multiple Affective States in Spoken Dialogue. Proceedings of the 13th Annual Meeting of the Special Interest Group on on Discourse and Dialogue (SIGDIAL), pages 217-226, Seoul, South Korea, July.
• Kate Forbes-Riley, Diane Litman, Heather Friedberg, and Joanna Drummond. Intrinsic and Extrinsic Evaluation of an Automatic User Disengagement Detector for an Uncertainty-Adaptive Spoken Dialogue System. Proceedings Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL). pages 91-102, Montreal, Canada, June.
• Heather Friedberg, Diane Litman, and Susannah B. F. Paletz, Lexical Entrainment and Success in Student Engineering Groups, Proceedings Fourth IEEE Workshop on Spoken Language Technology (SLT), pages 404-409, Miami, Florida, December.
• Michael Lipschultz, Diane Litman, Pamela Jordan, and Sandra Katz. Evaluating Learning Factors Analysis. Workshop and Poster Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP). Montreal, Canada, July. (poster paper)
• Diane Litman. Speech and Language Processing for Adaptive Training. Adaptive Technologies for Training and Education, Paula Durlach and Alan Lesgold (eds.), Cambridge University Press, pages 247-260.
• Diane Litman, Heather Friedberg, and Kate Forbes-Riley. Prosodic Cues to Disengagement and Uncertainty in Physics Tutorial Dialogues. Proceedings 13th Annual Conference of the International Speech Communication Association (Interspeech), Portland, Oregon, September.
• Wenting Xiong, Diane Litman and Christian Schunn. Natural Language Processing Techniques for Researching and Improving Peer Feedback. Journal of Writing Research 4(2), 155-176.
• Wenting Xiong, Diane Litman, Jingtao Wang, and Christian Schunn. An Interactive Analytic Tool for Peer-Review Exploration. Proceedings 7th Workshop on Innovative Use of NLP for Building Applications (NAACL-HLT Workshop), pages 174-179, Montreal, Canada, June.

2011

• Hua Ai and Diane Litman. Assessing User Simulation for Dialog Systems using Human Judges and Automatic Evaluation Measures. Journal of Natural Language Engineering, Volume 17 Issue 4, pages 511-540.
• Hua Ai and Diane Litman, Comparing User Simulations for Dialog Strategy Learning. ACM Transactions on Speech and Language Processing, Volume 7 Issue 3, May.
• Min Chi, Kurt VanLehn, Diane Litman, and Pamela Jordan. Empirically Evaluating the Application of Reinforcement Learning to the Induction of Effective and Adaptive Pedagogical Strategies. User Modeling and User-Adapted Interaction, Vol. 21, Numbers 1-2, pp. 137-180.
• Min Chi, Kurt VanLehn, Diane Litman, and Pamela Jordan. An Evaluation of Pedagogical Tutorial Tactics for a Natural Language Tutoring System: A Reinforcement Learning Approach. International Journal of Artificial Intelligence in Education, 21(2), pages 83-113.
• Joanna Drummond and Diane Litman. Examining the Impacts of Dialogue Content and System Automation on Affect Models in a Spoken Tutorial Dialogue System. Proceedings 12th Annual SIGdial Meeting on Discourse and Dialogue (SIGdial), Portland, Oregon, June. (short paper)
• Kate Forbes-Riley and Diane Litman. Designing and Evaluating a Wizarded Uncertainty-Adaptive Spoken Dialogue Tutoring System. Computer Speech and Language, Volume 25, Issue 1, pages 105-126.
• Kate Forbes-Riley and Diane Litman, Benefits and Challenges of Real-Time Uncertainty Detection and Adaptation in a Spoken Dialogue Computer Tutor. Speech Communication, Volume 53, Issues 9-10, pages 1115-1136.
• Kate Forbes-Riley and Diane Litman, Using Performance Trajectories to Analyze the Immediate Impact of User State Misclassification in an Adaptive Spoken Dialogue System, Proceedings 12th Annual SIGdial Meeting on Discourse and Dialogue (SIGdial), Portland, Oregon, June.
• Kate Forbes-Riley and Diane Litman, When Does Disengagement Correlate with Learning in Spoken Dialog Computer Tutoring?, Proceedings 15th International Conference on Artificial Intelligence in Education (AIED), Auckland, NZ, June. (Best paper award nominee)
• Kate Forbes-Riley, Diane Litman, and Heather Friedberg, Annotating Disengagement for Spoken Dialogue Computer Tutoring, New Perspectives on Affect and Learning Technologies (Explorations in the Learning Sciences, Instructional Systems and Performance Technologies 3), R. A. Calvo and S. K. D'Mello (eds.), Springer, 2011.
• Sandra Katz, Patricia Albacete, Pamela Jordan and Diane Litman. Dialogue Analysis to Inform the Development of a Natural-language Tutoring System for Physics, Proceedings Workshop on the Semantics and Pragmatics of Dialogue (SemDial), Los Angeles, CA, September.
• Sandra Katz, Pamela Jordan, Diane Litman and the Rimac Project Team. Rimac: A Natural-Language Dialogue System that Engages Students in Deep Reasoning Dialogues about Physics. (poster) Proceedings Society for Research on Educational Effectiveness (SREE), Washington, DC, March.
• Michael Lipschultz, Diane Litman, Pamela Jordan and Sandra Katz. Predicting Changes in Level of Abstraction in Tutor Responses to Students. Proceedings 24th International FLAIRS (Florida Artificial Intelligence Research Society) Conference, Palm Beach, Florida, May.
• Arthur Ward and Diane Litman. Adding Abstractive Reflection to a Tutorial Dialog System. Proceedings 24th International FLAIRS (Florida Artificial Intelligence Research Society) Conference, Palm Beach, Florida, May.
• Arthur Ward and Diane Litman, Cohesion/Knowledge Interactions in Post-tutoring Reflective Text, Proceedings 15th International Conference on Artificial Intelligence in Education (AIED), Auckland, NZ, June. (poster paper)
• Arthur Ward, Diane Litman, and Maxine Eskenazi. Predicting Change in Student Motivation by Measuring Cohesion between Tutor and Student, Proceedings 6th Workshop on Innovative Use of NLP for Building Educational Applications (ACL-HLT Workshop), Portland, OR, June.
• Wenting Xiong and Diane Litman, Automatically Predicting Peer-Review Helpfulness, Proceedings 49th Annual Meeting of the Assocaition for Computational Linguistics: Human Language Technologies (ACL/HLT), Portland, Oregon, June. (short paper)
• Wenting Xiong and Diane Litman, Understanding Differences in Perceived Peer-Review Helpfulness using Natural Language Processing, Proceedings 6th Workshop on Innovative Use of NLP for Building Educational Applications (ACL-HLT Workshop), Portland, OR, June.

2010

• Min Chi, Kurt VanLehn and Diane Litman. Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning To Induce Pedagogical Tutorial Tactics. Proceedings 10th International Conference on Intelligent Tutoring Systems (ITS), Pittsburgh, PA. (Best paper award)
• Min Chi, Kurt VanLehn and Diane Litman, The More the Merrier? Examining Three Interaction Hypotheses. Proceedings Annual Meeting of the Cognitive Science Society (CogSci), Portland, OR.
• Min Chi, Kurt VanLehn, Diane Litman, and Pamela Jordan. Inducing Effective Pedagogical Strategies Using Learning Context Features. Proceedings Eighteenth International Conference on User Modeling, Adaptation, and Personalization (UMAP), Hawaii. (Best student paper award)
• Joanna Drummond and Diane Litman. In the Zone: Towards Detecting Student Zoning Out using Supervised Machine Learning. Proceedings 10th International Conference on Intelligent Tutoring Systems (ITS), Pittsburgh, PA (poster paper).
• Kate Forbes-Riley and Diane Litman. Metacognition and Learning in Spoken Dialogue Computer Tutoring. Proceedings 10th International Conference on Intelligent Tutoring Systems (ITS), Pittsburgh, PA.
• Michael Lipschultz and Diane Litman. Correcting Scientific Knowledge in a General-Purpose Ontology. Proceedings 10th International Conference on Intelligent Tutoring Systems (ITS), Pittsburgh, PA (poster paper).
• Wenting Xiong and Diane Litman. Identifying Problem Localization in Peer-Review Feedback. Proceedings 10th International Conference on Intelligent Tutoring Systems (ITS), Pittsburgh, PA (poster paper).
• Wenting Xiong, Diane Litman and Christian Schunn. Assessing Reviewers' Performance Based on Mining Problem Localization in Peer-Review Data. Proceedings Third International Conference on Educational Data Mining (EDM), Pittsburgh, PA.
• Wenting Xiong, Diane Litman and Christian Schunn. Impact of Annotation Difficulty on Automatically Detecting Problem Localization of Peer-Review Feedback. Proceedings of Computer-Supported Peer Review in Education (ITS Workshop), Pittsburgh, PA.

2009

• Hua Ai and Diane Litman. Setting Up User Action Probabilities in User Simulations for Dialog System Development. Proceedings Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP), Suntec, Singapore, August.
• Min Chi, Pamela Jordan, Kurt VanLehn and Diane Litman. To Elicit Or To Tell: Does It Matter? Proceedings 14th International Conference on Artificial Intelligence in Education (AIED), Brighton, UK, July.
• Kate Forbes-Riley and Diane Litman. Adapting to Student Uncertainty Improves Tutoring Dialogues. Proceedings 14th International Conference on Artificial Intelligence in Education (AIED), Brighton, UK, July.
• Kate Forbes-Riley and Diane Litman. A User Modeling-based Performance Analysis of a Wizarded Uncertainty-Adaptive Dialogue System Corpus. Proceedings Interspeech, Brighton, UK, September.
• Pamela Jordan, Diane Litman, Michael Lipschultz and Joanna Drummond. Evidence of Misunderstandings in Tutorial Dialogue and their Impact on Learning. Proceedings 14th International Conference on Artificial Intelligence in Education (AIED), Brighton, UK, July.
• Diane Litman and Kate Forbes-Riley. Spoken Tutorial Dialogue and the Feeling of Another's Knowing. Proceedings 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), London, UK, September.
• Diane Litman and Kate Forbes-Riley. Improving (Meta)cognitive Tutoring by Detecting and Responding to Uncertainty. Cognitive and Metacognitive Educational Systems: Papers from the AAAI Symposium (Technical Report FS-09-02), Arlington, VA, November.
• Diane Litman, Johanna Moore, Myroslava O. Dzikovska and Elaine Farrow. Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains and Modalities. Proceedings 14th International Conference on Artificial Intelligence in Education (AIED), Brighton, UK, July.
• Diane Litman, Mihai Rotaru, and Greg Nicholas. Classifying Turn-Level Uncertainty Using Word-Level Prosody. Proceedings Interspeech, Brighton, UK, September.
• Mihai Rotaru and Diane J. Litman. Discourse Structure and Performance Analysis: Beyond the Correlation. Proceedings 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), London, UK, September. (Best student paper award nominee)
• Arthur Ward, John Connelly, Sandra Katz, Diane Litman, and Christine Wilson. Cohesion, Semantics and Learning in Reflective Dialog. Proceedings of AIED Workshop on Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity, Brighton, UK, July.
• Wenting Xiong, Diane J. Litman, G. Elisabeta Marai. Analyzing Prosodic Features and Student Uncertainty using Visualization. Cognitive and Metacognitive Educational Systems: Papers from the AAAI Symposium (Technical Report FS-09-02), Arlington, VA, November.

2008

• Hua Ai and Diane J. Litman. Assessing Dialog System User Simulation Evaluation Measures Using Human Judges. Proceedings 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL), Columbus, OH, June.
• Kate Forbes-Riley and Diane J. Litman. Analyzing Dependencies Between Student Certainness States and Tutor Responses in a Spoken Dialogue Corpus. Recent Trends in Discourse and Dialogue, Laila Dybkjaer and Wolfgang Minker (eds.), Springer.
• Kate Forbes-Riley, Diane Litman, and Mihai Rotaru. Responding to Student Uncertainty during Computer Tutoring: An Experimental Evaluation. Proceedings 9th International Conference on Intelligent Tutoring Systems (ITS),Montreal, Canada, June.
• Kate Forbes-Riley, Diane Litman, Scott Silliman, and Amruta Purandare. Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems. Proceedings 6th Language Resources and Evaluation Conference (LREC 2008), Marrakech, Morocco, May-June.
• Kate Forbes-Riley, Mihai Rotaru, and Diane J. Litman. The Relative Impact of Student Affect on Performance Models in a Spoken Dialogue Tutoring System. User Modeling and User-Adapted Interaction (Special Issue on Affective Modeling and Adaptation), 18(1-2), February, pages 11-43.
• Pamela Jordan and Diane Litman. Minimal Feedback During Tutorial Dialogue. Proceedings 9th International Conference on Intelligent Tutoring Systems (ITS), Montreal, Canada, June. (poster)
• Amruta Purandare and Diane Litman. Analyzing Dialog Coherence using Transition Patterns in Lexical and Semantic Features. Proceedings 21st International FLAIRS Conference, Coconut Grove, Florida, May.
• Amruta Purandare and Diane Litman. Content-Learning Correlations in Spoken Tutoring Dialogs at Word, Turn and Discourse Levels. Proceedings 21st International FLAIRS Conference, Coconut Grove, Florida, May.
• Joel R. Tetreault and Diane J. Litman. A Reinforcement Learning Approach to Evaluating State Representations in Spoken Dialogue Systems. Speech Communication (Special Issue on Evaluating new methods and models for advanced speech-based interactive systems), Volume 50, Issues 8-9, August-September, pages 683-696.
• Arthur Ward and Diane Litman. Semantic Cohesion and Learning. Proceedings 9th International Conference on Intelligent Tutoring Systems (ITS), Montreal, Canada, June.

2007

• Hua Ai and Diane J. Litman. Knowledge Consistent User Simulations for Dialog Systems. Proceedings Interspeech, Antwerp, Belgium, August.
• Hua Ai, Antoine Raux, Dan Bohus, Maxine Eskenazi, and Diane Litman, Comparing Spoken Dialog Corpora Collected with Recruited Subjects versus Real Users. Proceedings SIGdial Workshop on Discourse and Dialogue, Antwerp, Belgium, September.
• Hua Ai, Joel R. Tetreault, and Diane J. Litman. Comparing User Simulation Models for Dialog Strategy Learning. Proceedings Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT), Rochester, NY, April.
• Kate Forbes-Riley and Diane Litman. Investigating Human Tutor Responses to Student Uncertainty for Adaptive System Development. Proceedings Affective Computing and Intelligent Interaction (ACII), Lisbon, Portugal, September.
• Kate Forbes-Riley, Diane Litman, Amruta Purandare, Mihai Rotaru, and Joel Tetreault. Comparing Linguistic Features for Modeling Learning in Computer Dialogue Tutoring. Proceedings 13th International Conference on Artificial Intelligence in Education (AIED) Los Angeles, CA, July.
• Kate Forbes-Riley, Mihai Rotaru, Diane J. Litman and Joel Tetreault, Exploring Affect-Context Dependencies for Adaptive System Development. Proceedings Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT), Rochester, NY, April. (Best paper award)
• Mihai Rotaru and Diane J. Litman. The Utility of a Graphical Representation of Discourse Structure in Spoken Dialogue Systems. Proceedings 45th Annual Meeting of the Association for Computational Linguistics (ACL), Prague, Czech Republic, June.
• Joel R. Tetreault, Dan Bohus, and Diane J. Litman. Estimating the Reliability of MDP Policies: A Confidence Interval Approach. Proceedings Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT), Rochester, NY, April.
• Kurt VanLehn, Pamela Jordan, and Diane Litman. Developing Pedagogically Effective Tutorial Dialogue Tactics: Experiments and a Testbed. SLaTE Workshop on Speech and Language Technology in Education (ISCA Tutorial and Research Workshop), Farmington, PA, October.
• Arthur Ward and Diane Litman. Dialog Convergence and Learning. Proceedings 13th International Conference on Artificial Intelligence in Education (AIED), Los Angeles, CA, July.
• Arthur Ward and Diane Litman, Automatically Measuring Lexical and Acoustic/Prosodic Convergence in Tutorial Dialog Corpora. SLaTE Workshop on Speech and Language Technology in Education (ISCA Tutorial and Research Workshop), Farmington, PA, October.

2006

• Hua Ai and Diane Litman. Comparing Real-Real, Simulated-Simulated, and Simulated-Real Spoken Dialogue Corpora. Proceedings of the AAAI Workshop on Statistical and Empirical Approaches for Spoken Dialogue Systems, Boston, MA.
• Hua Ai, Diane J. Litman, Kate Forbes-Riley, Mihai Rotaru, Joel Tetreault, and Amruta Purandare. Using System and User Performance Features to Improve Emotion Detection in Spoken Tutoring Dialogs. Proceedings of Interspeech ICSLP, Pittsburgh, PA.
• Kate Forbes-Riley and Diane J. Litman. Modelling User Satisfaction and Student Learning in a Spoken Dialogue Tutoring System with Generic, Tutoring, and User Affect Parameters. Proceedings Human Language Technology Conference/North American chapter of the Association for Computational Linguistics annual meeting (HLT-NAACL), New York, NY.
• Kate Forbes-Riley, Diane Litman, Scott Silliman, and Joel Tetreault. Comparing Synthesized versus Pre-recorded Tutor Speech in an Intelligent Tutoring Spoken Dialogue System. Proceeding 19th International FLAIRS (Florida Artificial Intelligence Research Society) Conference, Melbourne Beach, FL.
• Rohit Kumar, Carolyn P. Rose, Diane J. Litman. Identification of Confusion and Surprise in Spoken Dialog using Prosodic Features. Proceedings International Conference on Spoken Language Processing (Interspeech 2006), Pittsburgh, PA.
• Diane Litman and Kate Forbes-Riley. Correlations betweeen Dialogue Acts and Learning in Spoken Tutoring Dialogues. Natural Language Engineering, Volume 12, Issue 2, June 2006, Pages 161-176.
• Diane J. Litman and Kate Forbes-Riley. Recognizing Student Emotions and Attitudes on the Basis of Utterances in Spoken Tutoring Dialogues with both Human and Computer Tutors. Speech Communication, Volume 48, Issue 5, May 2006, Pages 559-590.
• Diane Litman, Julia Hirschberg, and Marc Swerts. Characterizing and Predicting Corrections in Spoken Dialogue Systems. Computational Linguistics, Volume 32, Number 3, September 2006, Pages 417-438.
• Diane J. Litman, Carolyn P. Rose, Kate Forbes-Riley, Kurt VanLehn, Dumisizwe Bhembe, and Scott Silliman. Spoken Versus Typed Human and Computer Dialogue Tutoring. International Journal of Artificial Intelligence in Education, Volume 16, Pages 145-170.
• Greg Nicholas, Mihai Rotaru, and Diane J. Litman. Exploiting Word-level Features for Emotion Prediction. Proceedings of IEEE/ACL Workshop on Spoken Language Technology (SLT). Aruba.
• Amruta Purandare and Diane Litman. Humor: Prosody Analysis and Automatic Recognition for FRIENDS. Proceedings Conference on Empirical Methods in Natural Language Processing (EMNLP), Sydney, Australia.
• Mihai Rotaru and Diane J. Litman. Dependencies between Student State and Speech Recognition Problems in Spoken Tutoring Dialogues. Proceedings Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics (Coling/ACL), Sydney, Australia.
• Mihai Rotaru and Diane J. Litman. Exploiting Discourse Structure for Spoken Dialogue Performance Analysis, Proceedings Conference on Empirical Methods in Natural Language Processing (EMNLP), Sydney, Australia.
• Mihai Rotaru and Diane J. Litman. Discourse Structure and Speech Recognition Problems, Proceedings of Interspeech 2006, Pittsburgh, PA. (People's choice best paper award)
• Swapna Somasundaran, Janyce Wiebe, Paul Hoffmann and Diane Litman. Manual Annotation of Opinion Categories in Meetings. Proceedings of the ACL/Coling Workshop on Frontiers in Linguistically Annotated Corpora, Sydney, Australia.
• Joel Tetreault and Diane Litman. Using Reinforcement Learning to Build a Better Model of Dialogue State. Proceedings 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Trento, Italy.
• Joel R. Tetreault and Diane J. Litman. Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning. Proceedings Human Language TechnologyConference/North American chapter of the Association for Computational Linguistics annual meeting (HLT-NAACL), New York, NY.
• Arthur Ward and Diane Litman. Cohesion and Learning in a Tutorial Spoken Dialog System. Proceeding 19th International FLAIRS (Florida Artificial Intelligence Research Society) Conference, Melbourne Beach, FL.

2005

• Kate Forbes-Riley and Diane Litman. Correlating Student Acoustic-Prosodic Profiles with Student Learning in Spoken Tutoring Dialogues. Proceedings 9th European Conference on Speech Communication and Technology (Interspeech-2005/Eurospeech), Lisbon, Portugal.
• Kate Forbes-Riley and Diane J. Litman. Using Bigrams to Identify Relationships Between Student Certainness States and Tutor Responses in a Spoken Dialogue Corpus. Proceedings of 6th SIGdial Workshop on Discourse and Dialogue, Lisbon, Portugal.
• Kate Forbes-Riley, Diane Litman, Alison Huettner and Arthur Ward. Dialogue-Learning Correlations in Spoken Dialogue Tutoring. Proceedings 12th International Conference on Artificial Intelligence Education (AIED), Amsterdam, Netherlands.
• Diane Litman and Kate Forbes-Riley. Speech Recognition Performance and Learning in Spoken Dialogue Tutoring. Proceedings 9th European Conference on Speech Communication and Technology (Interspeech-2005/Eurospeech), Lisbon, Portugal.
• Mihai Rotaru and Diane J. Litman. Improving Question Answering for Reading Comprehension Tests by Combining Multiple Systems. Proceedings of the AAAI 2005 Workshop on Question Answering in Restricted Domains, Pittsburgh, PA.
• Mihai Rotaru and Diane J. Litman. Using Word-level Pitch Features to Better Predict Student Emotions during Spoken Tutoring Dialogues. Proceedings 9th European Conference on Speech Communication and Technology (Interspeech-2005/Eurospeech), Lisbon, Portugal.
• Mihai Rotaru, Diane J. Litman, and Katherine Forbes-Riley. Interactions between Speech Recognition Problems and User Emotions. Proceedings 9th European Conference on Speech Communication and Technology (Interspeech-2005/Eurospeech), Lisbon, Portugal.
• Arthur Ward and Diane Litman. Predicting Learning in Tutoring with the Landscape Model of Memory. Proceedings of the ACL Second Workshop on Building Educational Applications Using Natural Language Processing, Ann Arbor, Michigan.

2004

• Claire Cardie, Janyce Wiebe, Theresa Wilson, and Diane Litman. 2004. Low Level Annotations and Summary Representations of Opinions for Multi-Perspective Question Answering. In New Directions in Question Answering, Mark Maybury, editor. AAAI Press: Menlo Park, California.
• Kate Forbes-Riley and Diane Litman. 2004. Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources. Proceedings of the Human Language Technology Conference: 4th Meeting of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL), Boston, MA.
• Julia Hirschberg, Diane Litman, and Marc Swerts. Prosodic and Other Cues to Speech Recognition Failures. Speech Communication, Volume 43, Issues 1-2, June 2004, Pages 155-175. (Best paper award)
• Diane Litman and Kate Forbes-Riley. 2004. Annotating Student Emotional States in Spoken Tutoring Dialogues. Proceedings of 5th SIGdial Workshop on Discourse and Dialogue, Boston, MA.
• Diane J. Litman and Kate Forbes-Riley. 2004. Predict ing Student Emotions in Computer-Human Tutoring Dialogues. Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL), Barcelon, Spain.
• Diane J. Litman, Carolyn P. Rose, Kate Forbes-Riley, Kurt VanLehn, Dumisizwe Bhembe, and Scott Silliman. 2004. Spoken Versus Typed Human and Computer Dialogue Tutoring. Proceedings of the Seventh International Conference on Intelligent Tutoring Systems (ITS), Maceio, Brazil.
• Diane Litman and Scott Silliman. 2004. ITSPOKE: An Intelligent Tutoring Spoken Dialogue System. Companion Proceedings of the Human Language Technology Conference: 4th Meeting of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL), Boston, MA.
• Beatriz Maeireizo, Diane Litman and Rebecca Hwa.  2004. Co-training for Predicting Emotions with Spoken Dialogue Data.  Companion Proceedings of Association for Computational Linguistics, Barcelona, Spain.
• Ves Stoyanov, Claire Cardie, Diane Litman, and Janyce Wiebe. 2004. Evaluating an Opinion Annotation Scheme Using a New Multi-Perspective Question and Answer Corpus. Working Notes - Exploring Attitude and Affect in Text: Theories and Applications (AAAI Spring Symposium Series), Stanford, CA.

2003

• Claire Cardie, Janyce Wiebe, Theresa Wilson and Diane Litman. 2003. Combining Low-Level and Summary Representations of Opinions for Multi-Perspective Question Answering. Working Notes - New Directions in Question Answering (AAAI Spring Symposium Series), Stanford, CA.
• Diane Litman and Kate Forbes. 2003. Recognizing Emotions from Student Speech in Tutoring Dialogues. Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), St. Thomas, Virgin Islands.
• Diane Litman, Kate Forbes, and Scott Silliman. 2003. Towards Emotion Prediction in Spoken Tutoring Dialogues. Companion Proceedings of the Human Language Technology Conference: 3rd Meeting of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL), Edmonton, Canada.
• Carolyn P. Rose, Diane Litman, Dumisizwe Bhembe, Kate Forbes, Scott Silliman, Ramesh Srivastava, and Kurt VanLehn. 2003. A Comparison of Tutor and Student Behavior in Speech Versus Text Based Tutoring . Proceedings of the HLT-NAACL Workshop on Building Educational Applications Using Natural Language Processing, Edmonton, Canada.
• Mihai Rotaru and Diane J. Litman. 2003. Exceptionality and Natural Language Learning. Proceedings of the Seventh Conference on Natural Language Learning (CoNLL), Edmonton, Canada.
• Janyce Wiebe, Eric Breck, Chris Buckley, Claire Cardie, Paul Davis, Bruce Fraser, Diane Litman, David Pierce, Ellen Riloff, Theresa Wilson, David Day, and Mark Maybury. 2003. Recognizing and Organizing Opinions Expressed in the World Press, Working Notes - New Directions in Question Answering (AAAI Spring Symposium Series), Stanford, CA.

Associate Dean for Mentoring and Development
School of Computing and Information
University of Pittsburgh
Pittsburgh, PA 15260

Professor
Department of Computer Science
5105 Sennott Square
210 South Bouquet Street
University of Pittsburgh
Pittsburgh, PA 15260
(phone) 412-624-8838
(fax) 412-624-8854

Senior Scientist
Learning Research and Development Center
3420 Forbes Ave
Office 722
University of Pittsburgh
Pittsburgh, PA 15260
(phone) 412-624-1261

Faculty
Intelligent Systems Program

litman at cs dot pitt dot edu