Sentence to sentence similarity : a review

Bounab, Yazid; Seppänen, Jaakko; Savusalo, Markus; Mäkynen, Riku; Oussalah, Mourad (2019-11-08)
 
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https://fruct.org/publications/acm25

Bounab, Yazid
Seppänen, Jaakko
Savusalo, Markus
Mäkynen, Riku
Oussalah, Mourad
FRUCT
08.11.2019

Bounab, Y., Seppänen, J., Savusalo, M., Mäkynen, R., Oussalah, M., Sentence to sentence similarity : a review, Proceedings of the FRUCT’25, Helsinki, Finland, 5-8 November 2019, ISSN: 2305-7254, p. 439-443

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© The Authors 2019.
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https://urn.fi/URN:NBN:fi-fe202001202596
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Abstract

This paper suggests a novel sentence-to-sentence similarity measure. The proposal makes use of both word embedding and named-entity based semantic similarity. This is motivated by the increasing short text phrases that contain named-entity tags and the importance to detect various levels of hidden semantic similarity even in case of high noise ratio. The proposal is evaluated using a set of publicly available datasets as well as an in-house built dataset, while comparison with some state of art algorithms is performed.

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