Guidelines for the Annotation of Intentional Linguistic Metaphor
Stefanie Dipper, Adam Roussel, Alexandra Wiemann, Won Kim, Tra-my Nguyen
Abstract
This paper presents guidelines for the annotation of intentional (i.e. non-conventionalized) linguistic metaphors. Expressions that contribute to the same metaphorical image are annotated as a chain, additionally a semantically contrasting expression of the target domain is marked as an anchor. So far, a corpus of ten TEDx talks with a total of 20k tokens has been annotated according to these guidelines. 1.25% of the tokens are intentional metaphorical expressions.- 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:
- Cite (ACL):
- Stefanie Dipper, Adam Roussel, Alexandra Wiemann, Won Kim, and Tra-my Nguyen. 2024. Guidelines for the Annotation of Intentional 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 Intentional Linguistic Metaphor (Dipper et al., Fig-Lang-WS 2024)
- PDF:
- https://preview.aclanthology.org/jeptaln-2024-ingestion/2024.figlang-1.7.pdf