Metaphor identification for Spanish sentences using recurrent neural networks
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 interpre...
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| Format: | Dissertation |
| Language: | Spanish |
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Pontificia Universidad Católica del Perú
2020
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| Online Access: | http://hdl.handle.net/20.500.12404/16531 |
| Summary: | 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 |
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