Publications by Diane Litman

Publications

(Also available via Google Scholar, Semantic Scholar)

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, 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, 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, November.
  • Tristan Maidment, Mingzhi Yu, Erin Walker, Adriana Kovashka, Diane Litman and Timothy Nokes-Malach, Creating a Data-Driven RL Environment for Educational Dialogue, 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, 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

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2016

2015

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2004

2003