Abstract
This paper presents The Shared Task on Euphemism Detection for the Third Workshop on Figurative Language Processing (FigLang 2022) held in conjunction with EMNLP 2022. Participants were invited to investigate the euphemism detection task: given input text, identify whether it contains a euphemism. The input data is a corpus of sentences containing potentially euphemistic terms (PETs) collected from the GloWbE corpus, and are human-annotated as containing either a euphemistic or literal usage of a PET. In this paper, we present the results and analyze the common themes, methods and findings of the participating teams.- Anthology ID:
- 2022.flp-1.27
- Volume:
- Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates (Hybrid)
- Venue:
- Fig-Lang
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 184–190
- Language:
- URL:
- https://aclanthology.org/2022.flp-1.27
- DOI:
- 10.18653/v1/2022.flp-1.27
- Cite (ACL):
- Patrick Lee, Anna Feldman, and Jing Peng. 2022. A Report on the Euphemisms Detection Shared Task. In Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), pages 184–190, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- A Report on the Euphemisms Detection Shared Task (Lee et al., Fig-Lang 2022)
- PDF:
- https://preview.aclanthology.org/remove-xml-comments/2022.flp-1.27.pdf