• DocumentCode
    757398
  • Title

    New feature sets for summarization by sentence extraction

  • Author

    van Halteren, Hans

  • Author_Institution
    Nijmegen Univ., Netherlands
  • Volume
    18
  • Issue
    4
  • fYear
    2003
  • Firstpage
    34
  • Lastpage
    42
  • Abstract
    Machine learning features developed for authorship attribution can also be used for sentence extraction. This is done in order to achieve the automatic production of summaries based on key sentences. The author´s pilot extraction system outperformed a hard-to-beat positional baseline system.
  • Keywords
    abstracting; learning (artificial intelligence); natural languages; authorship attribution; feature sets; key sentences; machine learning features; positional baseline system; sentence extraction; summarization; summary; Data mining; Feature extraction; Information retrieval; Machine learning; Vocabulary; Writing;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2003.1217626
  • Filename
    1217626
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=757398