• DocumentCode
    2903209
  • Title

    Product Named Entity Recognition Using Conditional Random Fields

  • Author

    Luo, Fang ; Xiao, Han ; Chang, Weili

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2011
  • fDate
    17-18 Oct. 2011
  • Firstpage
    86
  • Lastpage
    89
  • Abstract
    For Product Named Entity Recognition, Conditional Random Fields model is used in this paper. By introducing the domain ontology features to the CRFs model can improve the performance of Product Named Entity Recognition, and experiments were made to compare the two kinds of feature templates. Empirical results show that the PNER based on CRFs model with ontology features can achieve good performance. However, the Imperfect of Domain Ontology leads to the product named entity recognition may be not better than the research of other previous scholars using other methods for traditional named entity recognition.
  • Keywords
    natural language processing; ontologies (artificial intelligence); conditional random fields; domain ontology; product named entity recognition; Computational modeling; Computers; Context; Mathematical model; Ontologies; Semantics; Speech; CRFs; Domain Ontology; Feature Selection; PNER;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-1541-9
  • Type

    conf

  • DOI
    10.1109/BIFE.2011.101
  • Filename
    6121094