arXiv:1704.08390
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection
원문 초록
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.
함께 살펴볼 논문
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The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition
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Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models
Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
토론
이 논문과 연결된 포럼 글이 아직 없습니다.