Publications

Google Scholar

  • What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
    • Irene Li, Alexander Fabbri, Robert Tung, and Dragomir Radev
    • AAAI, 2019
  • ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
    • Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander Fabbri, Irene Li, Dan Friedman, and Dragomir Radev
    • AAAI, 2019
  • Sarcasm Analysis using Conversation Context
    • Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan
    • Computational Linguistics (Journal), 2018
  • TutorialBank: Using a Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. DATA
    • Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Weitai Ting, Robert Tung, Caitlin Westerfield and Dragomir Radev
    • 56th Annual Meeting of the Association for Computational Linguistics (ACL), July 2018
    • We release a corpus for NLP education and research in prerequisite chains, survey extraction resource recommendation and other areas.

  • The Role of Conversation Context for Sarcasm Detection in Online Interactions. CODE
    • Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan
    • 18th Annual SIGdial Meeting on Discourse and Dialogue, AugustĀ 2017
    • Winner of best paper award
    • We explore whether modeling of conversation context helps in sarcasm detection and how we can understand what part of conversation context triggered the sarcastic reply using LSTM networks with attention.

  • The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation. SLIDES
    • Owen Rambow, Tao Yu, Axinia Radeva, Sardar Hamidian, Alexander R. Fabbri, Debanjan Ghosh Christopher Hidey, Tianrui Peng, Mona Diab, Kathleen McKeown, Smaranda Muresan
    • Proceedings of the NIST TAC KBP Workshop, 2016
    • We develop multiple systems for source and target belief and sentiment analysis.