A Computational Exploration of Exaggeration
Enrica Troiano, Carlo Strapparava, Gözde Özbal, Serra Sinem Tekiroğlu
Abstract
Several NLP studies address the problem of figurative language, but among non-literal phenomena, they have neglected exaggeration. This paper presents a first computational approach to this figure of speech. We explore the possibility to automatically detect exaggerated sentences. First, we introduce HYPO, a corpus containing overstatements (or hyperboles) collected on the web and validated via crowdsourcing. Then, we evaluate a number of models trained on HYPO, and bring evidence that the task of hyperbole identification can be successfully performed based on a small set of semantic features.- Anthology ID:
- D18-1367
- Volume:
- Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Month:
- October-November
- Year:
- 2018
- Address:
- Brussels, Belgium
- Editors:
- Ellen Riloff, David Chiang, Julia Hockenmaier, Jun’ichi Tsujii
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3296–3304
- Language:
- URL:
- https://aclanthology.org/D18-1367
- DOI:
- 10.18653/v1/D18-1367
- Cite (ACL):
- Enrica Troiano, Carlo Strapparava, Gözde Özbal, and Serra Sinem Tekiroğlu. 2018. A Computational Exploration of Exaggeration. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 3296–3304, Brussels, Belgium. Association for Computational Linguistics.
- Cite (Informal):
- A Computational Exploration of Exaggeration (Troiano et al., EMNLP 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/D18-1367.pdf