Event-based extractive summarization using event semantic relevance from external linguistic resource

Maofu Liu, Wenjie Li, Mingli Wu, Jun Hu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Event-based summarization attempts to select and organize the sentences in a summary with respect to the events or the sub-events that the sentences describe. In this paper, we define an event as one or more event terms along with the named entities associated. Each event often relates to other events semantically, temporally, spatially, causally or conditionally. Firstly, we derive event relevance from external linguistic resource. Then we apply PageRank ranking algorithm to estimate the significance of an event for inclusion in a summary based on the event semantic relevance derived. We make experiments on the DUC 2001 test data only using the event semantic relevance, from external linguistic resource like VerbOcean, and the results make more improvement than those based on the tf*idf.
Original languageEnglish
Title of host publicationProceedings - ALPIT 2007 6th International Conference on Advanced Language Processing and Web Information Technology
Pages117-122
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2007
Event6th International Conference on Advanced Language Processing and Web Information Technology, ALPIT 2007 - Luoyang, Henan, China
Duration: 22 Aug 200724 Aug 2007

Conference

Conference6th International Conference on Advanced Language Processing and Web Information Technology, ALPIT 2007
Country/TerritoryChina
CityLuoyang, Henan
Period22/08/0724/08/07

ASJC Scopus subject areas

  • Computer Science(all)
  • Information Systems

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