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Verbal multiword expressions for identification of metaphor
Rohanian, Omid Rei, Marek Taslimipoor, Shiva Ha, Le
Rohanian, Omid
Rei, Marek
Taslimipoor, Shiva
Ha, Le
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2020-07-06
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Abstract
Metaphor is a linguistic device in which a concept is expressed by mentioning another. Identifying metaphorical expressions, therefore, requires a non-compositional understanding of semantics. Multiword Expressions (MWEs), on the other hand, are linguistic phenomena with varying degrees of semantic opacity and their identification poses a challenge to computational models. This work is the first attempt at analysing the interplay of metaphor and MWEs processing through the design of a neural architecture whereby classification of metaphors is enhanced by informing the model of the presence of MWEs. To the best of our knowledge, this is the first “MWE-aware” metaphor identification system paving the way for further experiments on the complex interactions of these phenomena. The results and analyses show that this proposed architecture reach state-of-the-art on two different established metaphor datasets.
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Rohanian, O., Rei, M., Taslimipoor, S. and Ha, L.A. (2020) Verbal multiword expressions for identification of metaphor, Proceedings of the 58th annual meeting of the Association for Computational Linguistics (ACL), 6th-8th July, 2020, pp. 2890–2895.
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en
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© 2020 The Authors. Published by Association for Computational Linguistics. This is an open access article available under a Creative Commons licence.
The published version can be accessed at the following link on the publisher’s website: http://dx.doi.org/10.18653/v1/2020.acl-main.259
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9781952148255