Abstract
This paper describes our system, entitled Idiom Savant, for the 7th Task of the Semeval 2017 workshop, “Detection and interpretation of English Puns”. Our system consists of two probabilistic models for each type of puns using Google n-gram and Word2Vec. Our system achieved f-score of calculating, 0.663, and 0.07 in homographic puns and 0.8439, 0.6631, and 0.0806 in heterographic puns in task 1, task 2, and task 3 respectively.- Anthology ID:
- S17-2011
- 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:
- 103–108
- Language:
- URL:
- https://aclanthology.org/S17-2011
- DOI:
- 10.18653/v1/S17-2011
- Cite (ACL):
- Samuel Doogan, Aniruddha Ghosh, Hanyang Chen, and Tony Veale. 2017. Idiom Savant at Semeval-2017 Task 7: Detection and Interpretation of English Puns. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 103–108, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Idiom Savant at Semeval-2017 Task 7: Detection and Interpretation of English Puns (Doogan et al., SemEval 2017)
- PDF:
- https://preview.aclanthology.org/naacl24-info/S17-2011.pdf