PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis
Elena Mikhalkova, Yuri Karyakin, Alexander Voronov, Dmitry Grigoriev, Artem Leoznov
Abstract
The paper describes our search for a universal algorithm of detecting intentional lexical ambiguity in different forms of creative language. At SemEval-2018 Task 3, we used PunFields, the system of automatic analysis of English puns that we introduced at SemEval-2017, to detect irony in tweets. Preliminary tests showed that it can reach the score of F1=0.596. However, at the competition, its result was F1=0.549.- Anthology ID:
- S18-1088
- Volume:
- Proceedings of the 12th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 541–545
- Language:
- URL:
- https://aclanthology.org/S18-1088
- DOI:
- 10.18653/v1/S18-1088
- Cite (ACL):
- Elena Mikhalkova, Yuri Karyakin, Alexander Voronov, Dmitry Grigoriev, and Artem Leoznov. 2018. PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 541–545, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis (Mikhalkova et al., SemEval 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/S18-1088.pdf