Predicting relevant news events for timeline summaries

Giang Binh Tran, Mohammad Alrifai, Dat Quoc Nguyen

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

21 Citations (Scopus)

Abstract

This paper presents a framework for automatically constructing timeline summaries from collections of web news articles. We also evaluate our solution against manually created timelines and in comparison with related work.

Original languageEnglish
Title of host publicationWWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages91-92
Number of pages2
ISBN (Print)9781450320382
Publication statusPublished - 2013
Externally publishedYes
Event22nd International Conference on World Wide Web, WWW 2013 - Rio de Janeiro, Brazil
Duration: 13 May 201317 May 2013

Other

Other22nd International Conference on World Wide Web, WWW 2013
CountryBrazil
CityRio de Janeiro
Period13/05/1317/05/13

Keywords

  • News events
  • Summarization
  • Supervised
  • Timeline

Cite this

Tran, G. B., Alrifai, M., & Nguyen, D. Q. (2013). Predicting relevant news events for timeline summaries. In WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web (pp. 91-92). New York: Association for Computing Machinery (ACM).