Interactive abstractive summarization for event news tweets

Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan, Ido Dagan

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

Abstract

We present a novel interactive summarization system that is based on abstractive summarization, derived from a recent consolidated knowledge representation for multiple texts. We incorporate a couple of interaction mechanisms, providing a bullet-style summary while allowing to attain the most important information first and interactively drill down to more specific details. A usability study of our implementation, for event news tweets, suggests the utility of our approach for text exploration.

Original languageEnglish
Title of host publicationEMNLP 2017 - Conference on Empirical Methods in Natural Language Processing
Subtitle of host publicationSystem Demonstrations, Proceedings
PublisherAssociation for Computational Linguistics (ACL)
Pages109-114
Number of pages6
ISBN (Electronic)9781945626975
DOIs
StatePublished - 2017
Event2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2017 - Copenhagen, Denmark
Duration: 9 Sep 201711 Sep 2017

Publication series

NameEMNLP 2017 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings

Conference

Conference2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2017
Country/TerritoryDenmark
CityCopenhagen
Period9/09/1711/09/17

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

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