GoWvis: A web application for graph-of-words-based text visualization and summarization

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce GoWvis1, an interactive web application that represents any piece of text inputted by the user as a graph-ofwords and leverages graph degeneracy and community detection to generate an extractive summary (keyphrases and sentences) of the inputted text in an unsupervised fashion. The entire analysis can be fully customized via the tuning of many text preprocessing, graph building, and graph mining parameters. Our system is thus well suited to educational purposes, exploration and early research experiments. The new summarization strategy we propose also shows promise.

Original languageEnglish
Title of host publication54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - System Demonstrations
PublisherAssociation for Computational Linguistics (ACL)
Pages151-156
Number of pages6
ISBN (Electronic)9781510827615
DOIs
Publication statusPublished - 1 Jan 2016
Event54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Berlin, Germany
Duration: 7 Aug 201612 Aug 2016

Publication series

Name54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - System Demonstrations

Conference

Conference54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
Country/TerritoryGermany
CityBerlin
Period7/08/1612/08/16

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