On Web Based Sentence Similarity for Paraphrasing Detection

Mourad Oussalah, Panos Kostakos

2017

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@conference{kdir17,
author={Mourad Oussalah and Panos Kostakos},
title={On Web Based Sentence Similarity for Paraphrasing Detection},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={289-292},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006581002890292},
isbn={978-989-758-271-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - On Web Based Sentence Similarity for Paraphrasing Detection
SN - 978-989-758-271-4
AU - Oussalah M.
AU - Kostakos P.
PY - 2017
SP - 289
EP - 292
DO - 10.5220/0006581002890292