TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages
Marin Kukovačec, Juraj Malenica, Ivan Mršić, Antonio Šajatović, Domagoj Alagić, Jan Šnajder
Abstract
This paper describes our system for humor ranking in tweets within the SemEval 2017 Task 6: #HashtagWars (6A and 6B). For both subtasks, we use an off-the-shelf gradient boosting model built on a rich set of features, handcrafted to provide the model with the external knowledge needed to better predict the humor in the text. The features capture various cultural references and specific humor patterns. Our system ranked 2nd (officially 7th) among 10 submissions on the Subtask A and 2nd among 9 submissions on the Subtask B.- Anthology ID:
- S17-2066
- 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:
- 396–400
- Language:
- URL:
- https://aclanthology.org/S17-2066
- DOI:
- 10.18653/v1/S17-2066
- Cite (ACL):
- Marin Kukovačec, Juraj Malenica, Ivan Mršić, Antonio Šajatović, Domagoj Alagić, and Jan Šnajder. 2017. TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 396–400, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages (Kukovačec et al., SemEval 2017)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/S17-2066.pdf