Abstract
This paper describes the Duluth system that participated in SemEval-2017 Task 6 #HashtagWars: Learning a Sense of Humor. The system participated in Subtasks A and B using N-gram language models, ranking highly in the task evaluation. This paper discusses the results of our system in the development and evaluation stages and from two post-evaluation runs.- Anthology ID:
- S17-2064
- 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:
- 385–389
- Language:
- URL:
- https://aclanthology.org/S17-2064
- DOI:
- 10.18653/v1/S17-2064
- Cite (ACL):
- Xinru Yan and Ted Pedersen. 2017. Duluth at SemEval-2017 Task 6: Language Models in Humor Detection. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 385–389, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Duluth at SemEval-2017 Task 6: Language Models in Humor Detection (Yan & Pedersen, SemEval 2017)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/S17-2064.pdf