CL-SciSumm 2017
Computational Linguistics Scientific Summarization Shared Task

Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017)
organized as a part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) and co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)

Tokyo, Japan, August 11, 2017.

Edited by

Kokil Jaidka *
Muthu Kumar Chandrasekaran **
Min-Yen Kan **

* University of Pennsylvania, USA
** National University of Singapore, Singapore

The CL-SciSumm Shared Task is run off the CL-SciSumm corpus, and comprises three sub-tasks in automatic research paper summarization on a new corpus of research papers. The corpus comprises ACL Computational Linguistics research papers, their citing papers and three output summaries each. The three output summaries comprise: the traditional self-summary of the paper (the abstract), the community summary (the collection of citation sentences ‘citances’) and a human summary written by a trained annotator. In 2017, the CL-SciSumm Shared Task was held as a part of the BIRNDL 2017 workshop, collocated with SIGIR 2017.

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2017-11-20: submitted by Kokil Jaidka, metadata incl. bibliographic data published under Creative Commons CC0
2017-11-20: published on CEUR-WS.org |valid HTML5|