• DocumentCode
    179028
  • Title

    Extending domain coverage of language understanding systems via intent transfer between domains using knowledge graphs and search query click logs

  • Author

    El-Kahky, Ali ; Xiaohu Liu ; Sarikaya, R. ; Tur, Gokhan ; Hakkani-Tur, Dilek ; Heck, Larry

  • Author_Institution
    Columbia Univ., New York, NY, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    4067
  • Lastpage
    4071
  • Abstract
    This paper proposes a new technique to enable Natural Language Understanding (NLU) systems to handle user queries beyond their original semantic schemas defined by intents and slots. Knowledge graph and search query logs are used to extend NLU system´s coverage by transferring intents from other domains to a given domain. The transferred intents as well as existing intents are then applied to a set of new slots that they are not trained with. The knowledge graph and search click logs are used to determine whether the new slots (i.e. entities) or their attributes in the graph can be used together with transfered intents without re-training the underlying NLU models with the expanded (i.e. with new intents and slots) schema. Experimental results show that the proposed technique can in fact be used in extending NLU system´s domain coverage in fulfilling the user´s request.
  • Keywords
    natural language processing; query processing; NLU system; domain coverage; intent transfer; knowledge graphs; natural language understanding systems; search click logs; search query click logs; search query logs; semantic schemas; transferred intents; transferring intents; underlying NLU models; Cities and towns; Games; Meteorology; Natural languages; Semantics; Speech; Training data; Natural language understanding; domain expansion; intent trasnfer; knowledge graphs; semantic schemas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854366
  • Filename
    6854366