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ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks



Michihiro Yasunaga , Jungo Kasai , Rui Zhang , Alexander R. Fabbri , Irene Li , Dan Friedman , Dragomir R. Radev

* AAAI 2019 

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ScisummNet: A Large Annotated Dataset and Content-Impact Models for Scientific Paper Summarization with Citation Networks



Michihiro Yasunaga , Jungo Kasai , Rui Zhang , Alexander R. Fabbri , Irene Li , Dan Friedman , Dragomir R. Radev

* AAAI 2019 

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Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model



Alexander R. Fabbri , Irene Li , Tianwei She , Suyi Li , Dragomir R. Radev

* ACL 2019, 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 2019 

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What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning



Irene Li , Alexander R. Fabbri , Robert R. Tung , Dragomir R. Radev


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Zero-shot Transfer Learning for Semantic Parsing



Javid Dadashkarimi , Alexander Fabbri , Sekhar Tatikonda , Dragomir R. Radev


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TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation



Alexander R. Fabbri , Irene Li , Prawat Trairatvorakul , Yijiao He , Wei Tai Ting , Robert Tung , Caitlin Westerfield , Dragomir R. Radev

* ACL 2018, 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 2018 

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Generating Extractive Summaries of Scientific Paradigms



Vahed Qazvinian , Dragomir R. Radev , Saif M. Mohammad , Bonnie Dorr , David Zajic , Michael Whidby , Taesun Moon

* Journal Of Artificial Intelligence Research, Volume 46, pages 165-201, 2013 

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A Computational Analysis of Collective Discourse



Vahed Qazvinian , Dragomir R. Radev

* Presented at Collective Intelligence conference, 2012 (arXiv:1204.2991) 

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