Metaphoricity detection in adjective-noun pairs

Torres Rivera, Andrés; Oliver, Antoni; Coll-Florit, Marta

doi:https://doi.org/10.26342/2020-64-6

Metaphoricity detection in adjective-noun pairs

Alternative title

Detección de metaforicidad en pares adjetivo-sustantivo

Abstract

In this paper we propose a neural network approach to detect the metaphoricity of Adjective-Noun pairs using pre-trained word embeddings and word similarity using dot product. We found that metaphorical word pairs tend to have a lower dot product score while literal pairs a higher score. On this basis, we compared seven optimizers and two activation functions, from which the best performing pairs obtained an accuracy score of 97.69% and 97.74%, which represents an improvement of 6% over other current approaches.
Torres Rivera, A.[Andrés], Oliver, A. [Antoni]& Coll-Florit, M. [Marta]. (2020). Metaphoricity Detection in Adjective-Noun Pairs. Procesamiento del lenguaje natural, 64(null), 53-60. doi: 10.26342/2020-64-6

DOI

https://doi.org/10.26342/2020-64-6

Citation

Torres Rivera, A., Oliver, A., Coll-Florit, M. (2020). Metaphoricity detection in adjective-noun pairs. Procesamiento del Lenguaje Natural, 2020, 64. https://doi.org/10.26342/2020-64-6

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