• DocumentCode
    2832636
  • Title

    Using Grammatical Inference For Structure Induction

  • Author

    Saidi, Alexandre S.

  • Author_Institution
    Dept. of Math. & Comput. Sci., Ecole Centrale de Lyon, Ecully
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    92
  • Lastpage
    104
  • Abstract
    Given the huge quantity of the current available textual information, text mining process tackles the task of searching useful knowledge in a natural language document. When dealing with a free-format textual corpus (e.g. a job announcement) where the linguistic rules are not respected, the time consuming morpho-syntactic analysis is not of a great help. However, text mining techniques process may exploit linguistic sub-structures in the text. In this paper, we present an applications of grammatical inference (GI) in a machine learning system applied to a text corpus. We specify and use the process of the grammatical inference as an instance of the constraint satisfaction problem that instantiates automata in a (language inclusion) lattice
  • Keywords
    data mining; grammars; inference mechanisms; information retrieval; learning (artificial intelligence); text analysis; constraint satisfaction problem; grammatical inference; language inclusion lattice; machine learning; structure induction; text mining; Computer science; Data mining; Databases; IEEE news; Lattices; Mathematics; Natural languages; Production; Seminars; Text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, 2006. CIC '06. 15th International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    0-7695-2708-6
  • Type

    conf

  • DOI
    10.1109/CIC.2006.71
  • Filename
    4023794