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

2017/04/27 by Xinru Yan, Yan, Xinru, Ted Pedersen +1
Computer Science · Psychology · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Humor Studies and Applications #Language, Metaphor, and Cognition #Video Analysis and Summarization

paper · pdf · doi:10.48550/arxiv.1704.08390

openalex publication_date 2017/04/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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