Storybase: Towards building a knowledge base for news events

Zhaohui Wu, Chen Liang, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

To better organize and understand online news information, we propose Storybase1, a knowledge base for news events that builds upon Wikipedia current events and daily Web news. It first constructs stories and their timelines based onWikipedia current events and then detects and links daily news to enrich those Wikipedia stories with more comprehensive events. We encode events and develop efficient event clustering and chaining techniques in an event space. We demonstrate Storybase with a news events search engine that helps find historical and ongoing news stories and inspect their dynamic timelines.

Original languageEnglish (US)
Title of host publicationACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Proceedings of System Demonstrations
PublisherAssociation for Computational Linguistics (ACL)
Pages133-138
Number of pages6
ISBN (Electronic)9781941643990
DOIs
StatePublished - 2015
Event53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2015 - Beijing, China
Duration: Jul 26 2015Jul 31 2015

Publication series

NameACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Proceedings of System Demonstrations

Other

Other53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2015
Country/TerritoryChina
CityBeijing
Period7/26/157/31/15

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Pollution

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