An intelligent algorithm for automatic document summarization

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

3 Citations (Scopus)

Abstract

Automatic Document Summarization is a highly interdisciplinary research area related with computer science as well as cognitive psychology. In this paper, we introduce an intelligent algorithm, the event indexing and summarization (EIS) algorithm, for automatic document summarization, which is based on taking into account a cognitive psycho-logical model, the event-indexing model, and the roles and importance of sentences and their syntax in document understanding. The EIS algorithm involves syntactic analysis of sentences, clustering and indexing sentences with the five indices from die event-indexing model, and extracting the most prominent content by lexical analysis at phrase and clause levels. After thorough implementation and objective evaluations, die algorithm has now shown good performance in multi-document summarization.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Natural Language Processing and Knowledge Engineering, 2003
EditorsChengqing Zong
PublisherIEEE
Pages740-745
Number of pages6
ISBN (Print)0780379020, 9780780379022
DOIs
Publication statusPublished - Oct 2003
EventInternational Conference on Natural Language Processing and Knowledge Engineering 2003 - Beijing, China
Duration: 26 Oct 200329 Oct 2003

Conference

ConferenceInternational Conference on Natural Language Processing and Knowledge Engineering 2003
Abbreviated titleNLP-KE 2003
CountryChina
CityBeijing
Period26/10/0329/10/03

Keywords

  • Event-indexing
  • Lexical analysis
  • Summarization
  • Syntax

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software

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