• DocumentCode
    3059105
  • Title

    Using AnsProlog with Link Grammar and WordNet for QA with deep reasoning

  • Author

    Baral, Chitta ; Tari, Luis

  • Author_Institution
    Arizona State Univ., Tempe
  • fYear
    2006
  • fDate
    18-21 Dec. 2006
  • Firstpage
    125
  • Lastpage
    128
  • Abstract
    Early question-answering (QA) approaches could only adequately answer fact-related questions and are insufficient in answering complex questions. More sophisticated QA systems utilize the semantics of words to answer complex questions. However, to answer certain kinds of complex questions, it is necessary to perform deep reasoning by utilizing the semantics of words as well as domain knowledge such as the effects and executability of actions. We propose a QA system that uses AnsProlog to represent domain knowledge and reason from the knowledge extracted by using Link Grammar and WordNet. We use the travel domain to illustrate our approach.
  • Keywords
    PROLOG; grammars; inference mechanisms; information retrieval systems; knowledge acquisition; knowledge representation; AnsProlog; QA systems; WordNet; deep reasoning; domain knowledge representation; knowledge extraction; link grammar; question-answering approaches; word semantics; Aircraft; Computer science; Dictionaries; Humans; Information retrieval; Information technology; Logic programming; Natural languages; Prototypes; Software agents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2006. ICIT '06. 9th International Conference on
  • Conference_Location
    Bhubaneswar
  • Print_ISBN
    0-7695-2635-7
  • Type

    conf

  • DOI
    10.1109/ICIT.2006.90
  • Filename
    4273169