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Title: Metaphor identification for Spanish sentences using recurrent neural networks
Advisor(s): Alatrista Salas, Hugo
OCDE field: https://purl.org/pe-repo/ocde/ford#1.02.00
Issue Date: 26-Jun-2020
Institution: Pontificia Universidad Católica del Perú
Abstract: Metaphors are an important literary figure that is found in books or and daily use. Nowadays it is an essential task for Natural Language Processing (NLP), but the dependence of the context and the lack corpus in other languages make it a bottleneck for some tasks such as translation or interpretation of texts. We present a classification model using recurrent neural networks for metaphor identification in Spanish sentences. We tested our model and his variants on a new corpus in Spanish and compared it with the current baseline using an English corpus. Our best model reports an F-score of 52.5% for Spanish and 60.4% for English.
Discipline: Informática con mención en Ciencias de la Computación
Grade or title grantor: Pontificia Universidad Católica del Perú. Escuela de Posgrado
Grade or title: Maestro en Informática con mención en Ciencias de la Computación
Register date: 26-Jun-2020; 26-Jun-2020



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