• DocumentCode
    511283
  • Title

    Rule-Based Natural Language Understanding Based on Fuzzy Evaluation of Teaching Quality

  • Author

    Zhaoyin, Zhang ; Yanfang, Li

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Heilongjiang Univ., Harbin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    25-27 Dec. 2009
  • Firstpage
    243
  • Lastpage
    246
  • Abstract
    This paper proposes a kind of method based on the rule natural language understanding, it can carry on scientific evaluation in understanding bases of the teachers´ teaching quality. First of all creates the domain library and evaluation library based on the quality of teaching evaluation system, establishes a rule for each word in domain and evaluation library. After identifies each domain and evaluation word, we call the corresponding rules to carry on fuzzy computing. Finally obtains the evaluation results. This method can use text description to evaluate teaching quality, has solved the defect only used the questionnaire in the process of evaluating teachers. We can carry on teaching evaluation task in any languages. Experiments proved that the method was feasible and practical.
  • Keywords
    computer aided instruction; fuzzy set theory; knowledge based systems; natural language processing; domain library; evaluation library; fuzzy evaluation; rule-based natural language understanding; teaching evaluation system; teaching quality; text description; Application software; Computer applications; Computer science; Data structures; Education; Educational institutions; Fuzzy sets; Libraries; Natural languages; Performance analysis; domain library; fuzzy evaluation; natural language understanding; rule library; semantic analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-0-7695-3930-0
  • Electronic_ISBN
    978-1-4244-5423-5
  • Type

    conf

  • DOI
    10.1109/IFCSTA.2009.65
  • Filename
    5385088