• DocumentCode
    3131639
  • Title

    Transaction Dialogs Based on Short Messages Understanding

  • Author

    Ye, Shiren ; Liao, Ding-an ; Zhou, Ye

  • Author_Institution
    Sch. of Inf. Technol., Univ. of Changzhou, Changzhou, China
  • fYear
    2011
  • fDate
    8-9 Oct. 2011
  • Firstpage
    117
  • Lastpage
    120
  • Abstract
    The paper proposed the crucial technique in transaction service system via Short Messages (SMs), which is a novel kind of dialog based on SMs understanding. After determining the domain of a new dialog using SPN, the service agent SMartS extracts information from SMs that are parsed by SM parser, part-of-speech tagger, name entities recognizer and semantic parser in turn, and then replies the prompt which could direct the procedure of dialog. An induction algorithm is used to discover automatically most domain-specific parser rules from the corpus which contains original SMs and the predefined case frame which depicts detailed semantic groups. Finally, a real domain application was provided.
  • Keywords
    grammars; information retrieval; interactive systems; software agents; speech processing; SM parser; SPN; domain-specific parser rules; entities recognizer; information extraction; part-of-speech tagger; semantic parser; service agent SMartS; short messages; transaction dialogs; transaction service system; Accuracy; Business; Data mining; Satellite broadcasting; Semantics; Syntactics; Training; dialog; message understanding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4577-1788-8
  • Type

    conf

  • DOI
    10.1109/KAM.2011.39
  • Filename
    6137593