NAACL 2024short1 citations
Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification
Kotaro Aono, Ryohei Sasano, Koichi Takeda
Abstract
There are several linguistic claims about situations where words are more likely to be used as metaphors.However, few studies have sought to verify such claims with large corpora.This study entails a large-scale, corpus-based analysis of certain existing claims about verb metaphors, by applying metaphor detection to sentences extracted from Common Crawl and using the statistics obtained from the results.The verification results indicate that the direct objects of verbs used as metaphors tend to have lower degrees of concreteness, imageability, and familiarity, and that metaphors are more likely to be used in emotional and subjective sentences.
BibTeX
@inproceedings{aono-etal-2024-verifying,
title = "Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification",
author = "Aono, Kotaro and
Sasano, Ryohei and
Takeda, Koichi",
editor = "Duh, Kevin and
Gomez, Helena and
Bethard, Steven",
booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.naacl-short.62/",
doi = "10.18653/v1/2024.naacl-short.62",
pages = "711--719"
}