Publication
EMNLP-IJCNLP 2019
Conference paper

A summarization system for scientific documents

EMNLP-IJCNLP 2019

Abstract

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.

Date

03 Nov 2019

Publication

EMNLP-IJCNLP 2019

Authors

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