Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases

Agnieszka Mykowiecka, Malgorzata Marciniak, Aleksander Wawer

Abstract
The paper addresses the classification of isolated Polish adjective-noun phrases according to their metaphoricity. We tested neural networks to predict if a phrase has a literal or metaphorical sense or can have both senses depending on usage. The input to the neural network consists of word embeddings, but we also tested the impact of information about the domain of the adjective and about the abstractness of the noun. We applied our solution to English data available on the Internet and compared it to results published in papers. We found that the solution based on word embeddings only can achieve results comparable with complex solutions requiring additional information.
Anthology ID:
W18-0904
Volume:
Proceedings of the Workshop on Figurative Language Processing
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee
Venue:
Fig-Lang
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
27–33
Language:
URL:
https://aclanthology.org/W18-0904
DOI:
10.18653/v1/W18-0904
Bibkey:
Cite (ACL):
Agnieszka Mykowiecka, Malgorzata Marciniak, and Aleksander Wawer. 2018. Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases. In Proceedings of the Workshop on Figurative Language Processing, pages 27–33, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases (Mykowiecka et al., Fig-Lang 2018)
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PDF:
https://preview.aclanthology.org/improve-issue-templates/W18-0904.pdf
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