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Predicting the Quality of Revisions in Argumentative Writing
Zhexiong Liu, Diane Litman, Elaine Lin Wang, Lindsay C. Matsumura, Richard Correnti
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STRONG -- Structure Controllable Legal Opinion Summary Generation
Findings IJCNLP-AACL 2023
Yang Zhong, Diane Litman
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Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking
Mohamed Elaraby, Yang Zhong, Diane Litman
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Utilizing Natural Language Processing for Automated Assessment of Classroom Discussion
Nhat Tran, Benjamin Pierce, Diane Litman, Richard Correnti, Lindsay Clare Matsumura
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ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining
Mohamed Elaraby, Diane Litman
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ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining
Zhexiong Liu, Meiqi Guo, Yue Dai, Diane Litman
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Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions
Yuya Asano, Diane Litman, Mingzhi Yu, Nikki Lobczowski, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker
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Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift
Nhat Tran, Diane Litman
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An Automated Writing Evaluation System for Supporting Self-Monitored Revising
Diane Litman, Tazin Afrin, Omid Kashefi, Christopher Olshefski, Amanda Godley, Rebecca Hwa
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Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions
Tristan Maidment, Mingzhi Yu, Nikki Lobczowski, Adriana Kovashka, Erin Walker, Diane Litman, Timothy Nokes-Malach
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