Abstract
This paper presents a system developed for SemEval-2017 Task 7, Detection and Interpretation of English Puns consisting of three subtasks; pun detection, pun location, and pun interpretation, respectively. The system stands on recognizing a distinctive word which has a high association with the pun in the given sentence. The intended humorous meaning of pun is identified through the use of this word. Our official results confirm the potential of this approach.- Anthology ID:
- S17-2074
- Volume:
- Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 436–439
- Language:
- URL:
- https://aclanthology.org/S17-2074
- DOI:
- 10.18653/v1/S17-2074
- Cite (ACL):
- Özge Sevgili, Nima Ghotbi, and Selma Tekir. 2017. N-Hance at SemEval-2017 Task 7: A Computational Approach using Word Association for Puns. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 436–439, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- N-Hance at SemEval-2017 Task 7: A Computational Approach using Word Association for Puns (Sevgili et al., SemEval 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/S17-2074.pdf