• DocumentCode
    2039375
  • Title

    Automatic titling of electronic documents with noun phrase extraction

  • Author

    Lopez, Cedric ; Prince, Violaine ; Roche, Mathieu

  • Author_Institution
    LIRMM, Univ. Montpellier 2, Montpellier, France
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    168
  • Lastpage
    171
  • Abstract
    Automatic titling (i.e. providing titles) is one of key domains of Web site accessibility. This paper provides an approach allowing the automatic titling of texts (e.g. emails, fora, etc.) relying on the morphosyntactic study of human written titles in a corpus of various texts. The method is developed in four stages: Corpus acquisition, candidate sentences determination for titling, noun phrase extraction in the candidate sentences, and finally, selecting a particular noun phrase to play the role of the text title (ChTitres approach). The method has been evaluated by ten users, and the satisfaction enquiry shows that the titles selected through this process are relevant.
  • Keywords
    Web sites; information retrieval; text analysis; Web site accessibility; automatic titling; candidate sentences determination; corpus acquisition; electronic documents; information retrieval; noun phrase extraction; text title; Data mining; Electronic mail; Encyclopedias; Humans; Indexes; Internet; Semantics; application; information retrieval; morphosyntactic characteristics; noun phrases; titling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-7897-2
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2010.5686088
  • Filename
    5686088