Diane J. Litman

Publication Activity (10 Years)

Years Active: 1982-2023
Publications (10 Years): 114

Top Venues

CoRR

BEA@NAACL-HLT

COLING

AAAI

Publications

Mohamed Elaraby, Yang Zhong, Diane J. Litman
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking. ACL (Findings) (2023)
Mohamed Elaraby, Yang Zhong, Diane J. Litman
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking. CoRR (2023)
Zhexiong Liu, Diane J. Litman, Elaine Wang, Lindsay Clare Matsumura, Richard Correnti
Predicting the Quality of Revisions in Argumentative Writing. BEA@ACL (2023)
Tazin Afrin, Diane J. Litman
Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing. CoRR (2023)
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 (2023)
Nhat Tran, Benjamin Pierce, Diane J. Litman, Richard Correnti, Lindsay Clare Matsumura
Utilizing Natural Language Processing for Automated Assessment of Classroom Discussion. CoRR (2023)
Tazin Afrin, Diane J. Litman
Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing. EACL (Findings) (2023)
Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. ArgMining@EMNLP (2023)
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)
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)
Tazin Afrin, Diane J. Litman
Learning from Auxiliary Sources in Argumentative Revision Classification. AIED (Posters/Late Breaking Results/...) (2023)
Zhexiong Liu, Diane J. Litman, Elaine Wang, Lindsay Clare Matsumura, Richard Correnti
Predicting the Quality of Revisions in Argumentative Writing. CoRR (2023)
Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. CoRR (2023)
Yang Zhong, Diane J. Litman
STRONG - Structure Controllable Legal Opinion Summary Generation. CoRR (2023)
Tazin Afrin, Diane J. Litman
Learning from Auxiliary Sources in Argumentative Revision Classification. CoRR (2023)
Zhexiong Liu, Meiqi Guo, Yue Dai, Diane J. Litman
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining. CoRR (2022)
Yang Zhong, Diane J. Litman
Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions. NLLP@EMNLP (2022)
Nhat Tran, Diane J. Litman
Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift. SIGDIAL (2022)
Zhexiong Liu, Meiqi Guo, Yue Dai, Diane J. Litman
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining. ArgMining@COLING (2022)
Mohamed Elaraby, Diane J. Litman
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining. COLING (2022)
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)
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)
Christina Steele, Nikki G. Lobczowski, Teresa Davison, Mingzhi Yu, Michael 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)
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)
Mohamed Elaraby, Diane J. Litman
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining. CoRR (2022)
Yang Zhong, Diane J. Litman
Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions. CoRR (2022)
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) (2022)
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 (2022)
Omid Kashefi, Tazin Afrin, Meghan Dale, Christopher Olshefski, Amanda Godley, Diane J. Litman, Rebecca Hwa
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus. CoRR (2022)
Nhat Tran, Malihe Alikhani, Diane J. Litman
How to Ask for Donations? Learning User-Specific Persuasive Dialogue Policies through Online Interactions. UMAP (2022)
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)
Mohamed Elaraby, Diane J. Litman
Self-trained Pretrained Language Models for Evidence Detection. ArgMining@EMNLP (2021)
Ahmed Magooda, Diane J. Litman, Mohamed Elaraby
Exploring Multitask Learning for Low-Resource Abstractive Summarization. EMNLP (Findings) (2021)
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)
Nhat Tran, Diane J. Litman
Multi-task Learning in Argument Mining for Persuasive Online Discussions. ArgMining@EMNLP (2021)
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 (2021)
Mingzhi Yu, Diane J. Litman, Shuang Ma, Jian Wu
A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations. CoRR (2021)
Ahmed Magooda, Mohamed Elaraby, Diane J. Litman
Exploring Multitask Learning for Low-Resource AbstractiveSummarization. CoRR (2021)
Haoran Zhang, Diane J. Litman
Essay Quality Signals as Weak Supervision for Source-based Essay Scoring. BEA@EACL (2021)
Sonia Cromp, Diane J. Litman
Essay Revision and Corresponding Grade Change asCaptured by Text Similarity and Revision Purposes. EDM (Workshops) (2021)
Mingzhi Yu, Diane J. Litman
Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT. FLAIRS Conference (2021)
Ahmed Magooda, Diane J. Litman
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization. CoRR (2021)
Tazin Afrin, Omid Kashefi, Christopher Olshefski, Diane J. Litman, Rebecca Hwa, Amanda Godley
Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. CoRR (2021)
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)
Mingzhi Yu, Diane J. Litman
Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT. CoRR (2021)
Luca Lugini, Diane J. Litman
Contextual Argument Component Classification for Class Discussions. CoRR (2021)
Tazin Afrin, Elaine Wang, Diane J. Litman, Lindsay Clare Matsumura, Richard Correnti
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing. CoRR (2021)
Ahmed Magooda, Diane J. Litman
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization. EMNLP (Findings) (2021)
Luca Lugini, Diane J. Litman
Contextual Argument Component Classification for Class Discussions. COLING (2020)
Christopher Olshefski, Luca Lugini, Ravneet Singh, Diane J. Litman, Amanda Godley
The Discussion Tracker Corpus of Collaborative Argumentation. LREC (2020)
Christopher Olshefski, Luca Lugini, Ravneet Singh, Diane J. Litman, Amanda Godley
The Discussion Tracker Corpus of Collaborative Argumentation. CoRR (2020)
Haoran Zhang, Diane J. Litman
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring. CoRR (2020)
Ahmed Magooda, Diane J. Litman
Abstractive Summarization for Low Resource Data using Domain Transfer and Data Synthesis. CoRR (2020)
Ahmed Magooda, Diane J. Litman
Abstractive Summarization for Low Resource Data Using Domain Transfer and Data Synthesis. FLAIRS Conference (2020)
Zahra Rahimi, Diane J. Litman
Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues. AAAI (2020)
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)
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)
Haoran Zhang, Diane J. Litman
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring. ACL (2020)
Haoran Zhang, Diane J. Litman
Co-Attention Based Neural Network for Source-Dependent Essay Scoring. CoRR (2019)
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 (2019)
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)
Haoran Zhang, Diane J. Litman
Word Embedding for Response-To-Text Assessment of Evidence. CoRR (2019)
Luca Lugini, Diane J. Litman
Predicting Specificity in Classroom Discussion. CoRR (2019)
Tazin Afrin, Diane J. Litman
Identifying Editor Roles in Argumentative Writing from Student Revision Histories. AIED (2) (2019)
Mingzhi Yu, Emer Gilmartin, Diane J. Litman
Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue. INTERSPEECH (2019)
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 Conference (2019)
Luca Lugini, Diane J. Litman
Argument Component Classification for Classroom Discussions. CoRR (2019)
Mingzhi Yu, Emer Gilmartin, Diane J. Litman
Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue. CoRR (2019)
Luca Lugini, Diane J. Litman, Amanda Godley, Christopher Olshefski
Annotating Student Talk in Text-based Classroom Discussions. CoRR (2019)
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 (2019)
Tazin Afrin, Diane J. Litman
Annotation and Classification of Sentence-level Revision Improvement. CoRR (2019)
Tazin Afrin, Diane J. Litman
Identifying Editor Roles in Argumentative Writing from Student Revision Histories. CoRR (2019)
Wencan Luo, Fei Liu, Diane J. Litman
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. CoRR (2018)
Tazin Afrin, Diane J. Litman
Annotation and Classification of Sentence-level Revision Improvement. BEA@NAACL-HLT (2018)
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) (2018)
Luca Lugini, Diane J. Litman
Argument Component Classification for Classroom Discussions. ArgMining@EMNLP (2018)
Huy V. Nguyen, Diane J. Litman
Argument Mining for Improving the Automated Scoring of Persuasive Essays. AAAI (2018)
Haoran Zhang, Diane J. Litman
Co-Attention Based Neural Network for Source-Dependent Essay Scoring. BEA@NAACL-HLT (2018)
Luca Lugini, Diane J. Litman, Amanda Godley, Christopher Olshefski
Annotating Student Talk in Text-based Classroom Discussions. BEA@NAACL-HLT (2018)
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
Automatic Summarization of Student Course Feedback. CoRR (2018)
Zahra Rahimi, Diane J. Litman
Weighting Model Based on Group Dynamics to Measure Convergence in Multi-party Dialogue. SIGDIAL Conference (2018)
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
A Novel ILP Framework for Summarizing Content with High Lexical Variety. CoRR (2018)
Luca Lugini, Diane J. Litman
Predicting Specificity in Classroom Discussion. BEA@EMNLP (2017)
Haoran Zhang, Diane J. Litman
Word Embedding for Response-To-Text Assessment of Evidence. ACL (Student Research Workshop) (2017)
Fan Zhang, Homa B. Hashemi, Rebecca Hwa, Diane J. Litman
A Corpus of Annotated Revisions for Studying Argumentative Writing. ACL (1) (2017)
Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman
Using Discourse Signals for Robust Instructor Intervention Prediction. AAAI (2017)
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)
Fan Zhang, Diane J. Litman
A Joint Identification Approach for Argumentative Writing Revisions. CoRR (2017)
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) (2017)
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)
Zahra Rahimi, Anish Kumar, Diane J. Litman, Susannah Paletz, Mingzhi Yu
Entrainment in Multi-Party Spoken Dialogues at Multiple Linguistic Levels. INTERSPEECH (2017)
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) (2017)
Ahmed Magooda, Diane J. Litman
Syntactic and semantic features for human like judgement in spoken CALL. SLaTE (2017)
Fan Zhang, Diane J. Litman, Katherine Forbes-Riley
Inferring Discourse Relations from PDTB-style Discourse Labels for Argumentative Revision Classification. COLING (2016)
Diane J. Litman, Steve J. Young, Mark J. F. Gales, Kate 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)
Fan Zhang, Diane J. Litman
Using Context to Predict the Purpose of Argumentative Writing Revisions. HLT-NAACL (2016)
Wencan Luo, Diane J. Litman
Determining the Quality of a Student Reflective Response. FLAIRS Conference (2016)
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
Automatic Summarization of Student Course Feedback. HLT-NAACL (2016)
Zahra Rahimi, Diane J. Litman
Automatically Extracting Topical Components for a Response-to-Text Writing Assessment. BEA@NAACL-HLT (2016)
Huy Nguyen, Wenting Xiong, Diane J. Litman
Instant Feedback for Increasing the Presence of Solutions in Peer Reviews. HLT-NAACL Demos (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Diane J. Litman