Literal and Metaphorical Senses in Compositional Distributional Semantic Models Literal and Metaphorical Senses in Compositional Distributional Semantic Models
Paper summary The paper investigates compositional semantic models specialised for metaphors. https://i.imgur.com/OnoJK3h.png They construct a dataset of 8592 adjective-noun phrases, covering 23 different adjectives, annotated for being metaphorical or literal. They then train compositional models to predict the phrase vector based on the noun vector, as a linear combination with an adjective-specific weight matrix. They show that it’s better to learn separate adjective matrices for literal and metaphorical uses of each adjective, even though the amount of training data is smaller.
aclweb.org
sci-hub
scholar.google.com
Literal and Metaphorical Senses in Compositional Distributional Semantic Models
Gutiérrez, E. Dario and Shutova, Ekaterina and Marghetis, Tyler and Bergen, Benjamin
Association for Computational Linguistics - 2016 via Local Bibsonomy
Keywords: dblp


Summary by Marek Rei 2 months ago
Loading...
Your comment:


ShortScience.org allows researchers to publish paper summaries that are voted on and ranked!
About

Sponsored by: and