@inproceedings{mykowiecka-etal-2018-literal,
title = "Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases",
author = "Mykowiecka, Agnieszka and
Marciniak, Malgorzata and
Wawer, Aleksander",
editor = "Beigman Klebanov, Beata and
Shutova, Ekaterina and
Lichtenstein, Patricia and
Muresan, Smaranda and
Wee, Chee",
booktitle = "Proceedings of the Workshop on Figurative Language Processing",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-0904",
doi = "10.18653/v1/W18-0904",
pages = "27--33",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases
%A Mykowiecka, Agnieszka
%A Marciniak, Malgorzata
%A Wawer, Aleksander
%Y Beigman Klebanov, Beata
%Y Shutova, Ekaterina
%Y Lichtenstein, Patricia
%Y Muresan, Smaranda
%Y Wee, Chee
%S Proceedings of the Workshop on Figurative Language Processing
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F mykowiecka-etal-2018-literal
%X 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.
%R 10.18653/v1/W18-0904
%U https://aclanthology.org/W18-0904
%U https://doi.org/10.18653/v1/W18-0904
%P 27-33
Markdown (Informal)
[Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases](https://aclanthology.org/W18-0904) (Mykowiecka et al., Fig-Lang 2018)
ACL