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A Summarization System for Scientific Documents

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arxiv 1908.11152 v1 pith:CMC7643A submitted 2019-08-29 cs.CL

A Summarization System for Scientific Documents

Shai Erera , Michal Shmueli-Scheuer , Guy Feigenblat , Ora Peled Nakash , Odellia Boni , Haggai Roitman , Doron Cohen , Bar Weiner
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Yosi Mass Or Rivlin Guy Lev Achiya Jerbi Jonathan Herzig Yufang Hou Charles Jochim Martin Gleize Francesca Bonin David Konopnicki
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classification cs.CL
keywords scientificsystemdocumentssummariessummarizationaimsapproachbuilt
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We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, exploration and understanding of scientific documents. Based on these findings, we built a system that retrieves and summarizes scientific documents for a given information need, either in form of a free-text query or by choosing categorized values such as scientific tasks, datasets and more. Our system ingested 270,000 papers, and its summarization module aims to generate concise yet detailed summaries. We validated our approach with human experts.

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