Abstract
This paper describes our system for detection and interpretation of English puns. We participated in 2 subtasks related to homographic puns achieve comparable results for these tasks. Through the paper we provide detailed description of the approach, as well as the results obtained in the task. Our models achieved a F1-score of 77.65% for Subtask 1 and 52.15% for Subtask 2.- Anthology ID:
- S17-2079
- Volume:
- Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, Canada
- Venue:
- SemEval
- SIGs:
- SIGLEX | SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 457–460
- Language:
- URL:
- https://aclanthology.org/S17-2079
- DOI:
- 10.18653/v1/S17-2079
- Cite (ACL):
- Vijayasaradhi Indurthi and Subba Reddy Oota. 2017. Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 457–460, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language (Indurthi & Oota, SemEval 2017)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/S17-2079.pdf