English

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

Computation and Language 2017-04-28 v1

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.

Keywords

Cite

@article{arxiv.1704.08390,
  title  = {Duluth at SemEval-2017 Task 6: Language Models in Humor Detection},
  author = {Xinru Yan and Ted Pedersen},
  journal= {arXiv preprint arXiv:1704.08390},
  year   = {2017}
}

Comments

5 pages, to Appear in the Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), August 2017, Vancouver, BC

R2 v1 2026-06-22T19:29:12.263Z