Modification of the Wu-Mendel approach for linguistic summarization

This paper presents versatile modification of the Wu-Mendel approach for linguistic summarisation and concentrates on eliminating the following main drawbacks of the approach: significant user/expert involvement, significant and rapidly increasing computational cost, some flaws in quality measures f...

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Bibliographic Details
Published inJournal of experimental & theoretical artificial intelligence Vol. 31; no. 1; pp. 77 - 97
Main Authors Mirzakhanov, Vuqar, Gardashova, Latafat
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 02.01.2019
Taylor & Francis Ltd
Subjects
Apriori algorithm
clustering
IF-THEN rules
Linguistic summarisation
Linguistics
stochastic processing
Wu-Mendel approach
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Summary:This paper presents versatile modification of the Wu-Mendel approach for linguistic summarisation and concentrates on eliminating the following main drawbacks of the approach: significant user/expert involvement, significant and rapidly increasing computational cost, some flaws in quality measures formulae. The techniques and formulae proposed to eliminate the aforesaid drawbacks are put through the experimental verification process involving several real-world datasets. The results of the experimental verification demonstrate the increased efficiency and effectiveness of the modified Wu-Mendel approach for linguistic summarisation.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0952-813X
1362-3079
DOI:10.1080/0952813X.2018.1518998