Guidelines for the Annotation of Deliberate Linguistic Metaphor

Stefanie Dipper, Adam Roussel, Alexandra Wiemann, Won Kim, Tra-My Nguyen


Abstract
This paper presents guidelines for the annotation of deliberate linguistic metaphor. Expressions that contribute to the same metaphorical image are annotated as a chain along with a semantically contrasting expression of the target domain, which helps to make the domain contrast inherent to metaphor more explicit. So far, a corpus of ten TEDx talks with a total of ca. 20k tokens has been annotated according to these guidelines. 1.35% of the tokens are deliberate metaphorical expressions according to our guidelines, which shows that our guidelines successfully identify a significantly higher proportion of deliberate metaphorical expressions than previous studies.
Anthology ID:
2024.figlang-1.7
Volume:
Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024)
Month:
June
Year:
2024
Address:
Mexico City, Mexico (Hybrid)
Editors:
Debanjan Ghosh, Smaranda Muresan, Anna Feldman, Tuhin Chakrabarty, Emmy Liu
Venues:
Fig-Lang | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
53–58
Language:
URL:
https://aclanthology.org/2024.figlang-1.7/
DOI:
10.18653/v1/2024.figlang-1.7
Bibkey:
Cite (ACL):
Stefanie Dipper, Adam Roussel, Alexandra Wiemann, Won Kim, and Tra-My Nguyen. 2024. Guidelines for the Annotation of Deliberate Linguistic Metaphor. In Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024), pages 53–58, Mexico City, Mexico (Hybrid). Association for Computational Linguistics.
Cite (Informal):
Guidelines for the Annotation of Deliberate Linguistic Metaphor (Dipper et al., Fig-Lang 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.figlang-1.7.pdf