Measuring the Sentence Level Similarity

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dc.contributor.author Canhasi, Ercan
dc.date.accessioned 2013-12-19T13:51:13Z
dc.date.accessioned 2015-11-19T12:50:26Z
dc.date.available 2013-12-19T13:51:13Z
dc.date.available 2015-11-19T12:50:26Z
dc.date.issued 2013-12-19
dc.identifier.uri http://dspace.epoka.edu.al/handle/1/840
dc.description.abstract This article describes a method used to calculate the similarity between short English texts, specifically of sentence length. The described algorithm calculates semantic and word order similarities of two sentences. In order to do so, it uses a structured lexical knowledge base and statistical information from a corpus. The described method works well in determining sentence similarity for most sentence pairs, consequently the implemented method can be used in computer automated sentence similarity measurements and other text based mining problems. We encapsulated the implemented algorithm in a .NET library, to simplify the task of calculating sentence similarity for end users. en_US
dc.language.iso en en_US
dc.relation.ispartofseries paper_5;
dc.subject Sentence similarity en_US
dc.subject short texts similarity en_US
dc.subject short texts comparison en_US
dc.subject semantic nets en_US
dc.subject corpus en_US
dc.title Measuring the Sentence Level Similarity en_US
dc.type Book chapter en_US


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  • ISCIM 2013
    2nd International Symposium on Computing in Informatics and Mathematics

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