WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony
Omid Rohanian, Shiva Taslimipoor, Richard Evans, Ruslan Mitkov
Abstract
This paper describes the systems submitted to SemEval 2018 Task 3 “Irony detection in English tweets” for both subtasks A and B. The first system leveraging a combination of sentiment, distributional semantic, and text surface features is ranked third among 44 teams according to the official leaderboard of the subtask A. The second system with slightly different representation of the features ranked ninth in subtask B. We present a method that entails decomposing tweets into separate parts. Searching for contrast within the constituents of a tweet is an integral part of our system. We embrace an extensive definition of contrast which leads to a vast coverage in detecting ironic content.- Anthology ID:
- S18-1090
- 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:
- 553–559
- Language:
- URL:
- https://aclanthology.org/S18-1090
- DOI:
- 10.18653/v1/S18-1090
- Cite (ACL):
- Omid Rohanian, Shiva Taslimipoor, Richard Evans, and Ruslan Mitkov. 2018. WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 553–559, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony (Rohanian et al., SemEval 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/S18-1090.pdf