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Automatic text summarization based on lexical chains

  • Yanmin Chen*
  • , Xiaolong Wang
  • , Yi Guan
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The method of lexical chains is the first time introduced to generate summaries from Chinese texts. The algorithm which computes lexical chains based on the HowNet knowledge database is modified to improve the performance and suit Chinese summarization. Moreover, the construction rules of lexical chains are extended, and relationship among more lexical items is used. The algorithm constructs lexical chains first, and then strong chains are identified and significant sentences are extracted from the text to generate the summary. Evaluation results show that the performance of the system has a notable improvement both in precision and recall compared to the original system.

Original languageEnglish
Title of host publicationAdvances in Natural Computation
Subtitle of host publication1st International Conference, ICNC 2005 - Proceedings
PublisherSpringer Verlag
Pages947-951
Number of pages5
EditionPART I
ISBN (Print)9783540283232
DOIs
StatePublished - 2005
Event1st International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 27 Aug 200529 Aug 2005

Publication series

NameLecture Notes in Computer Science
NumberPART I
Volume3610
ISSN (Print)0302-9743

Conference

Conference1st International Conference on Natural Computation, ICNC 2005
Country/TerritoryChina
CityChangsha
Period27/08/0529/08/05

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