• DocumentCode
    3317459
  • Title

    Discovering ISO relations among synsets in a flat thesaurus automatically

  • Author

    He, Tingting ; Li, Jing ; Ji, DongHong

  • Author_Institution
    Dept. of Comput. Sci., Huazhang Normal Univ., Wuhan, China
  • fYear
    2005
  • fDate
    30 Oct.-1 Nov. 2005
  • Firstpage
    287
  • Lastpage
    293
  • Abstract
    The semantic resources are very important for natural language processing (NLP). Constructing the semantic resources by hand can lead to good results, but costs a lot. This paper proposes an effective method to automatically construct a hierarchically organized resource based on a traditional flat thesaurus. With the method, we could enrich immediate super-ordinate (ISO) relations among synsets in the existing resources and make good use of them in the field of NLP. We also develop an automatic method to evaluate the semantic relations detected in our experiment with a machine-readable dictionary.
  • Keywords
    data mining; dictionaries; natural languages; thesauri; flat thesaurus; immediate super-ordinate relation; machine-readable dictionary; natural language processing; semantic resource; synsets; Buildings; Computer science; Costs; Databases; Dictionaries; Helium; ISO; Natural language processing; Production; Thesauri;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9361-9
  • Type

    conf

  • DOI
    10.1109/NLPKE.2005.1598750
  • Filename
    1598750