• DocumentCode
    3300491
  • Title

    Exploiting salient word dependency for Chinese NP identification: A study on classifier noun phrase

  • Author

    Wang, Meng ; Yu, Shiwen ; Duan, Huiming

  • Author_Institution
    Inst. of Comput., Linguistics Peking Univ., Beijing
  • fYear
    2008
  • fDate
    19-22 Oct. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    NP identification is a challenging subtask of NLP. The reported literatures mainly focus on base noun phrase and maximal-length noun phrase, and deal with them as a sequence labeling problem. In this paper, unlike existing perspective, we concentrate on a special subcategory of Chinese NP, classifier noun phrase (CNP), and present a new approach which uses salient word dependency, such as classifier-noun collocation, for CNP identification. The experiment result is encouraging. Our study shows that salient relations between words should be fully utilized in NP identification as well as other NLP applications.
  • Keywords
    natural language processing; Chinese NP identification; base noun phrase; classifier noun phrase; classifier-noun collocation; maximal-length noun phrase; natural language processing; salient word dependency; Books; Computational linguistics; Dictionaries; Entropy; Hidden Markov models; Horses; Labeling; Natural languages; Q measurement; Statistical analysis; NP identification; classifier noun phrase; classifier-noun collocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4515-8
  • Electronic_ISBN
    978-1-4244-2780-2
  • Type

    conf

  • DOI
    10.1109/NLPKE.2008.4906763
  • Filename
    4906763