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Phrase-Level Metaphor Identification using Distributed Representations of Word Meaning

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Metaphor is an essential element of human cognition which is often used to express ideas and emotions that might be difficult to express using literal language. Processing metaphoric language is a challenging task for a wide range of applications ranging from text simplification to psychotherapy. Despite the variety of approaches that are trying to process metaphor, there is still a need for better models that mimic the human cognition while exploiting fewer resources. In this paper, we present an approach based on distributional semantics to identify metaphors on the phrase-level. We investigated the use of different word embeddings models to identify verb-noun pairs where the verb is used metaphorically. Several experiments are conducted to show the performance of the proposed approach on benchmark datasets.
Conference Name: 
The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2018)
Proceedings: 
The Workshop on Figurative Language Processing (FigLang 2018)
Digital Object Identifer (DOI): 
10.18653/v1/W18-0910
Publication Date: 
06/06/2018
Pages: 
81–90
Conference Location: 
United States of America
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes
Publication document: