Abstract
Humor recognition is an interesting and challenging task in natural language processing. This paper proposes to exploit syntactic structure features to enhance humor recognition. Our method achieves significant improvements compared with humor theory driven baselines. We found that some syntactic structure features consistently correlate with humor, which indicate interesting linguistic phenomena. Both the experimental results and the analysis demonstrate that humor can be viewed as a kind of style and content independent syntactic structures can help identify humor and have good interpretability.- Anthology ID:
- C18-1159
- Volume:
- Proceedings of the 27th International Conference on Computational Linguistics
- Month:
- August
- Year:
- 2018
- Address:
- Santa Fe, New Mexico, USA
- Editors:
- Emily M. Bender, Leon Derczynski, Pierre Isabelle
- Venue:
- COLING
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1875–1883
- Language:
- URL:
- https://aclanthology.org/C18-1159
- DOI:
- Cite (ACL):
- Lizhen Liu, Donghai Zhang, and Wei Song. 2018. Exploiting Syntactic Structures for Humor Recognition. In Proceedings of the 27th International Conference on Computational Linguistics, pages 1875–1883, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
- Cite (Informal):
- Exploiting Syntactic Structures for Humor Recognition (Liu et al., COLING 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/C18-1159.pdf