Metaphor Identification in Large Texts Corpora

Identifying metaphorical language-use (e.g., sweet child) is one of the challenges facing natural language processing. This paper describes three novel algorithms for automatic metaphor identification. The algorithms are variations of the same core algorithm. We evaluate the algorithms on two corpor...

Descripción completa

Detalles Bibliográficos
Autores principales: Neuman, Yair, Assaf, Dan, Cohen, Yohai, Last, Mark, Argamon, Shlomo, Howard, Newton, Frieder, Ophir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3639214/
https://www.ncbi.nlm.nih.gov/pubmed/23658625
http://dx.doi.org/10.1371/journal.pone.0062343
_version_ 1782475920325476352
author Neuman, Yair
Assaf, Dan
Cohen, Yohai
Last, Mark
Argamon, Shlomo
Howard, Newton
Frieder, Ophir
author_facet Neuman, Yair
Assaf, Dan
Cohen, Yohai
Last, Mark
Argamon, Shlomo
Howard, Newton
Frieder, Ophir
author_sort Neuman, Yair
collection PubMed
description Identifying metaphorical language-use (e.g., sweet child) is one of the challenges facing natural language processing. This paper describes three novel algorithms for automatic metaphor identification. The algorithms are variations of the same core algorithm. We evaluate the algorithms on two corpora of Reuters and the New York Times articles. The paper presents the most comprehensive study of metaphor identification in terms of scope of metaphorical phrases and annotated corpora size. Algorithms’ performance in identifying linguistic phrases as metaphorical or literal has been compared to human judgment. Overall, the algorithms outperform the state-of-the-art algorithm with 71% precision and 27% averaged improvement in prediction over the base-rate of metaphors in the corpus.
format Online
Article
Text
id pubmed-3639214
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-36392142013-05-08 Metaphor Identification in Large Texts Corpora Neuman, Yair Assaf, Dan Cohen, Yohai Last, Mark Argamon, Shlomo Howard, Newton Frieder, Ophir PLoS One Research Article Identifying metaphorical language-use (e.g., sweet child) is one of the challenges facing natural language processing. This paper describes three novel algorithms for automatic metaphor identification. The algorithms are variations of the same core algorithm. We evaluate the algorithms on two corpora of Reuters and the New York Times articles. The paper presents the most comprehensive study of metaphor identification in terms of scope of metaphorical phrases and annotated corpora size. Algorithms’ performance in identifying linguistic phrases as metaphorical or literal has been compared to human judgment. Overall, the algorithms outperform the state-of-the-art algorithm with 71% precision and 27% averaged improvement in prediction over the base-rate of metaphors in the corpus. Public Library of Science 2013-04-29 /pmc/articles/PMC3639214/ /pubmed/23658625 http://dx.doi.org/10.1371/journal.pone.0062343 Text en © 2013 Neuman et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Neuman, Yair
Assaf, Dan
Cohen, Yohai
Last, Mark
Argamon, Shlomo
Howard, Newton
Frieder, Ophir
Metaphor Identification in Large Texts Corpora
title Metaphor Identification in Large Texts Corpora
title_full Metaphor Identification in Large Texts Corpora
title_fullStr Metaphor Identification in Large Texts Corpora
title_full_unstemmed Metaphor Identification in Large Texts Corpora
title_short Metaphor Identification in Large Texts Corpora
title_sort metaphor identification in large texts corpora
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3639214/
https://www.ncbi.nlm.nih.gov/pubmed/23658625
http://dx.doi.org/10.1371/journal.pone.0062343
work_keys_str_mv AT neumanyair metaphoridentificationinlargetextscorpora
AT assafdan metaphoridentificationinlargetextscorpora
AT cohenyohai metaphoridentificationinlargetextscorpora
AT lastmark metaphoridentificationinlargetextscorpora
AT argamonshlomo metaphoridentificationinlargetextscorpora
AT howardnewton metaphoridentificationinlargetextscorpora
AT friederophir metaphoridentificationinlargetextscorpora