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Information Journal Paper

Title

AN APPROACH BASED ON SEMANTIC SIMILARITY IN PERSIAN QUERY-BASED SUMMARIZATION

Pages

  51-63

Abstract

 Automatic text summarization systems are one type of management systems of huge information. This paper discusses one type of Persian text summarization based on a QUERY named "an extractive text summarization" which is very useful for leaders to review information about special topics. The most important phase in this type of summarization is calculation of the similarity between the QUERY phrase and components of the original text. For this purpose, after preprocessing the phase, converting the QUERY to a sentence, and clarifying the word sense, it is possible to calculate the similarity between the QUERY phrase and sentences using FARSNET. Then, those sentences that are the most similar to those in the QUERY are selected to be used in the summary. The results of the proposed method show that this method results in quite acceptable success. Since Persian is very young in processing the original language, this paper and all alike can be a great help to its result improvement.

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    APA: Copy

    SEPEHRIAN, Z., SADIDPOUR, S.S., & SHIRAZI, H.. (2014). AN APPROACH BASED ON SEMANTIC SIMILARITY IN PERSIAN QUERY-BASED SUMMARIZATION. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 2(3 (7)), 51-63. SID. https://sid.ir/paper/243125/en

    Vancouver: Copy

    SEPEHRIAN Z., SADIDPOUR S.S., SHIRAZI H.. AN APPROACH BASED ON SEMANTIC SIMILARITY IN PERSIAN QUERY-BASED SUMMARIZATION. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2014;2(3 (7)):51-63. Available from: https://sid.ir/paper/243125/en

    IEEE: Copy

    Z. SEPEHRIAN, S.S. SADIDPOUR, and H. SHIRAZI, “AN APPROACH BASED ON SEMANTIC SIMILARITY IN PERSIAN QUERY-BASED SUMMARIZATION,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 2, no. 3 (7), pp. 51–63, 2014, [Online]. Available: https://sid.ir/paper/243125/en

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