• DocumentCode
    2408826
  • Title

    Automated Inference of Socio-Cultural Information from Natural Language Conversations

  • Author

    Scherl, Richard ; Inclezan, Daniela ; Gelfond, Michael

  • Author_Institution
    Dept. of Comput. Sci. & Software Eng., Monmouth Univ., West Long Branch, NJ, USA
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    480
  • Lastpage
    487
  • Abstract
    We discuss a methodology for extracting socio-cultural information from transcripts of natural language conversations. The methodology is applicable to a wide variety of languages. We use Russian and Tamil for illustration. The extracted socio-cultural information pertains to the nature of the relationship between the participants in the interaction. We concentrate on the information implicit in the use of terms that refer to people (pronouns, terms of address etc.). We have constructed an AnsProlog theory of the use of these language indicators in Russian and also in Tamil. It is this theory that looks at the usages of these indicators in the conversation in question and produces information about the relationships of the participants in the conversation.
  • Keywords
    inference mechanisms; information retrieval; natural language processing; socio-economic effects; AnsProlog theory; Russian; Tamil; natural language conversations; socio-cultural information extraction; Cognition; Construction industry; Context; Data mining; Natural languages; Pragmatics; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Social Computing (SocialCom), 2010 IEEE Second International Conference on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    978-1-4244-8439-3
  • Electronic_ISBN
    978-0-7695-4211-9
  • Type

    conf

  • DOI
    10.1109/SocialCom.2010.76
  • Filename
    5591304