natural-language-processing-7

Scientific Document Summarization

3260 papers • 126 benchmarks • 313 datasets

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CL-SciSumm

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WING-NUS/scisumm-corpus

3 papers 195

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Most implemented papers

The CL-SciSumm Shared Task 2018: Results and Key Insights

Min-Yen Kan, Muthu Kumar Chandrasekaran, Kokil Jaidka, Devanshu Jain•Sun Sep 01 2019

This overview describes the official results of the CL-SciSumm Shared Task 2018 -- the first medium-scale shared task on scientific document summarization in the computational linguistics (CL) domain and compares the participating systems in terms of two evaluation metrics.

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Overview and Results: CL-SciSumm Shared Task 2019

Michihiro Yasunaga, Dayne Freitag, Dragomir R. Radev, Min-Yen Kan, Muthu Kumar Chandrasekaran•Sun Jun 30 2019

This overview describes the participation and the official results of the CL-SciSumm 2019 Shared Task, organized as a part of the 42nd Annual Conference of the Special Interest Group in Information Retrieval (SIGIR), held in Paris, France in July 2019.

60 0

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

Michihiro Yasunaga, A. R. Fabbri, Rui Zhang, Dragomir R. Radev, Irene Li, Jungo Kasai, Dan Friedman•Tue Jul 16 2019

The first large-scale manually-annotated corpus for scientific papers is developed and released by enabling faster annotation and summarization methods that integrate the authors’ original highlights and the article’s actual impacts on the community are proposed, to create comprehensive, hybrid summaries.

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