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. / Trabajo académico
| Identifer | oai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:20.500.12404/16531 |
| Date | 26 June 2020 |
| Creators | Alvarez Mouravskaia, Kevin |
| Contributors | Alatrista Salas, Hugo |
| Publisher | Pontificia Universidad Católica del Perú, PE |
| Source Sets | Pontificia Universidad Católica del Perú |
| Language | Spanish |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/closedAccess |
Page generated in 0.0142 seconds