In this work we explore the possibility of training a neural network to classify and rank idiomatic expressions under constraints of data scarcity. We discuss our results comparing them both to other unsupervised models designed to perform idiom detection and to similar supervised classifiers trained to detect metaphoric bigrams.

Deep-learning the Ropes: Modeling Idiomaticity with Neural Networks

Bizzoni, Yuri
Primo
;
Senaldi, Marco
Co-primo
;
Lenci, Alessandro
Co-primo
2017-01-01

Abstract

In this work we explore the possibility of training a neural network to classify and rank idiomatic expressions under constraints of data scarcity. We discuss our results comparing them both to other unsupervised models designed to perform idiom detection and to similar supervised classifiers trained to detect metaphoric bigrams.
2017
978-88-99982-76-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/892181
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