On web based sentence similarity for paraphrasing detection

Oussalah, Mourad; Kostakos, Panos (2017-11-01)
 
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URL:
https://doi.org/10.5220/0006581002890292

Oussalah, Mourad
Kostakos, Panos
Scitepress science and technology publications
01.11.2017

Oussalah M. and Kostakos P. (2017). On Web Based Sentence Similarity for Paraphrasing Detection. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 289-292. DOI: 10.5220/0006581002890292

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© 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. Published in this repository with the kind permission of the publisher.
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doi:https://doi.org/10.5220/0006581002890292
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https://urn.fi/URN:NBN:fi-fe201901222702
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Abstract

Semantic similarity measures play vital roles in information retrieval, natural language processing and paraphrasing detection. With the growing plagiarisms cases in both commercial and research community, designing efficient tools and approaches for paraphrasing detection becomes crucial. This paper contrasts web-based approach related to analysis of snippets of the search engine with WordNet based measure. Several refinements of the web-based approach will be investigated and compared. Evaluations of the approaches with respect to Microsoft paraphrasing dataset will be performed and discussed.

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