Duluth at SemEval-2017 Task 6: Language Models in Humor Detection

Xinru Yan, Ted Pedersen


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://www.aclweb.org/anthology/S17-2064
DOI:
10.18653/v1/S17-2064
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2064.pdf