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2017 | OriginalPaper | Chapter

A Metaphor Detection Approach Using Cosine Similarity

Authors : Malay Pramanick, Pabitra Mitra

Published in: Pattern Recognition and Machine Intelligence

Publisher: Springer International Publishing

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Abstract

Metaphor is a prominent figure of speech. For their prevalence in text and speech, detection and analysis of metaphors are required for complete natural language understanding. This paper describes a novel method for identification of metaphors with word vectors. Our method relies on the semantic distance between the word and the corresponding object or action it is applied to. Our method does not target any particular kind of metaphor but tries to identify metaphors in general. Experimental results on the VU Amsterdam Metaphor Corpus show that our method gives state of the art results as compared to previous reported works.

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Metadata
Title
A Metaphor Detection Approach Using Cosine Similarity
Authors
Malay Pramanick
Pabitra Mitra
Copyright Year
2017
Book
Pattern Recognition and Machine Intelligence

Print ISBN: 978-3-319-69899-1

Electronic ISBN: 978-3-319-69900-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-69900-4_45

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