354 citations · 873 across the 43 of their papers we have counts for
45 papers
Learning from Auxiliary Sources in Argumentative Revision Classification
Tazin Afrin, Diane Litman
We develop models to classify desirable reasoning revisions in argumentative writing. We explore two approaches -- multi-task learning and transfer learning -- to take advantage of…
Utilizing Natural Language Processing for Automated Assessment of Classroom Discussion
Nhat Tran, Benjamin Pierce, Diane Litman +2
Rigorous and interactive class discussions that support students to engage in high-level thinking and reasoning are essential to learning and are a central component of most teachi…
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport
Yuya Asano, Diane Litman, Mingzhi Yu +4
While speech-enabled teachable agents have some advantages over typing-based ones, they are vulnerable to errors stemming from misrecognition by automatic speech recognition (ASR).…
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking
Mohamed Elaraby, Yang Zhong, Diane Litman
We propose a simple approach for the abstractive summarization of long legal opinions that considers the argument structure of the document. Legal opinions often contain complex an…
Predicting the Quality of Revisions in Argumentative Writing
Zhexiong Liu, Diane Litman, Elaine Wang +2
The ability to revise in response to feedback is critical to students' writing success. In the case of argument writing in specific, identifying whether an argument revision (AR) i…
Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing
Tazin Afrin, Diane Litman
We develop models to classify desirable evidence and desirable reasoning revisions in student argumentative writing. We explore two ways to improve classifier performance - using t…