• DocumentCode
    507663
  • Title

    Automatic Extract Product-Entity from Untagged Review

  • Author

    Li, Rongjun ; Wang, Xiaojie ; Cen, Songxiang ; Mao, Yu

  • Author_Institution
    Sch. of Compute Sci. & Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    281
  • Lastpage
    284
  • Abstract
    In this paper, we present a new method to extract product entity from Chinese customer reviews. The approach requires no segmentation, no domain dictionary and little prior domain knowledge, which is more suitable for domain with resource-limited. Quite different from the previous work, the proposed method first get the entity candidates use a general version bootstrapping algorithm and then distribute the credits from the seed entities to other entity candidates based on graph´s topology structure. Experiments on COAE2008 corpus shows that the method proposed here is effective.
  • Keywords
    feature extraction; graph theory; natural language processing; COAE2008 corpus; Chinese customer reviews; automatic extract product-entity; bootstrapping algorithm; graph topology structure; product extraction; untagged review; Dictionaries; Engines; Humans; Knowledge acquisition; Natural languages; Speech analysis; Telecommunication computing; Tellurium; Terminology; Topology; Entity extraction; Natural language processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.79
  • Filename
    5362330