Abstract
While hyperbole is one of the most prevalent rhetorical devices, it is arguably one of the least studied devices in the figurative language processing community. We contribute to the study of hyperbole by (1) creating a corpus focusing on sentence-level hyperbole detection, (2) performing a statistical and manual analysis of our corpus, and (3) addressing the automatic hyperbole detection task.- Anthology ID:
- 2020.emnlp-main.571
- Volume:
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 7024–7034
- Language:
- URL:
- https://aclanthology.org/2020.emnlp-main.571
- DOI:
- 10.18653/v1/2020.emnlp-main.571
- Cite (ACL):
- Li Kong, Chuanyi Li, Jidong Ge, Bin Luo, and Vincent Ng. 2020. Identifying Exaggerated Language. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 7024–7034, Online. Association for Computational Linguistics.
- Cite (Informal):
- Identifying Exaggerated Language (Kong et al., EMNLP 2020)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2020.emnlp-main.571.pdf