Building document graphs for multiple news articles summarization: An event-based approach

Wei Xu, Chunfa Yuan, Wenjie Li, Mingli Wu, Kam Fai Wong

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

5 Citations (Scopus)

Abstract

Since most of news articles report several events and these events are referred in many related documents, we propose an event-based approach to visualize documents as graph on different conceptual granularities. With graph-based ranking algorithm, we illustrate the application of document graph to multi-document summarization. Experiments on DUC data indicate that our approach is competitive with state-of-the-art summarization techniques. This graphical representation which does not require training corpora can be potentially adapted to other languages.
Original languageEnglish
Title of host publicationComputer Processing of Oriental Languages - Beyond the Orient
Subtitle of host publicationThe Research Challenges Ahead - 21st International Conference, ICCPOL 2006, Proceedings
Pages181-188
Number of pages8
DOIs
Publication statusPublished - 1 Dec 2006
Event21st International Conference on Computer Processing of Oriental Languages: Beyond the Orient: The Research Challenges Ahead, ICCPOL 2006 - Singapore, Singapore
Duration: 17 Dec 200619 Dec 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4285 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Computer Processing of Oriental Languages: Beyond the Orient: The Research Challenges Ahead, ICCPOL 2006
CountrySingapore
CitySingapore
Period17/12/0619/12/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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