مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Cites:

Information Journal Paper

Title

BRIDGING THE SEMANTIC GAP IN QUESTION CLASSIFICATION BY CATEGORIZATION RULES

Pages

  13-24

Abstract

QUESTION CLASSIFICATION is one of the vital components of information retrieval and question answering systems. The goal of QUESTION CLASSIFICATION is to accurately identify the expected answer type of question and assign a label to it based on the class that the question placed in. So far, several studies have been done in this area using RULE-based methods and machine learning techniques. The objective of this study is to combine results of these two approaches in order to enhance the accuracy of classification. The main innovation in this research is the enrichment of the bag of words feature vector of categorization RULEs. The importance of the integrated method presented in this paper is the use of RULE repository with different categorization structure than the existing structure for QUESTION CLASSIFICATION. Experimental results of the proposed method on UIUC dataset show its effectiveness on improving the QUESTION CLASSIFICATION accuracy.

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  • Cite

    APA: Copy

    AFTABI, S.Z., & ZARE CHAHOOKI, M.A.. (2016). BRIDGING THE SEMANTIC GAP IN QUESTION CLASSIFICATION BY CATEGORIZATION RULES. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(3 (77)), 13-24. SID. https://sid.ir/paper/256437/en

    Vancouver: Copy

    AFTABI S.Z., ZARE CHAHOOKI M.A.. BRIDGING THE SEMANTIC GAP IN QUESTION CLASSIFICATION BY CATEGORIZATION RULES. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2016;46(3 (77)):13-24. Available from: https://sid.ir/paper/256437/en

    IEEE: Copy

    S.Z. AFTABI, and M.A. ZARE CHAHOOKI, “BRIDGING THE SEMANTIC GAP IN QUESTION CLASSIFICATION BY CATEGORIZATION RULES,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 3 (77), pp. 13–24, 2016, [Online]. Available: https://sid.ir/paper/256437/en

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