Metaphor identification for Spanish sentences using recurrent neural networks

Alatrista Salas, HugoAlvarez Mouravskaia, Kevin2020-06-262020-06-2620192020-06-26http://hdl.handle.net/20.500.12404/16531Metaphors 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.spainfo:eu-repo/semantics/closedAccessLingüística computacionalRedes neuronalesLenguaje natural--Procesamiento (Ciencia de la computación)Metaphor identification for Spanish sentences using recurrent neural networksinfo:eu-repo/semantics/masterThesishttps://purl.org/pe-repo/ocde/ford#1.02.00