End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories
2019-07-01ACL 2019Code Available0· sign in to hype
Rui Mao, Chenghua Lin, Frank Guerin
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- github.com/RuiMao1988/Sequential-Metaphor-IdentificationOfficialIn paperpytorch★ 0
Abstract
End-to-end training with Deep Neural Networks (DNN) is a currently popular method for metaphor identification. However, standard sequence tagging models do not explicitly take advantage of linguistic theories of metaphor identification. We experiment with two DNN models which are inspired by two human metaphor identification procedures. By testing on three public datasets, we find that our models achieve state-of-the-art performance in end-to-end metaphor identification.