SOTAVerified

Humor Detection

Humor detection is the task of identifying comical or amusing elements.

Papers

Showing 3140 of 64 papers

TitleStatusHype
CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense0
DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison0
Deceptive Humor: A Synthetic Multilingual Benchmark Dataset for Bridging Fabricated Claims with Humorous Content0
Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets0
StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos0
TakeLab at SemEval-2017 Task 6: \#RankingHumorIn4Pages0
TextMI: Textualize Multimodal Information for Integrating Non-verbal Cues in Pre-trained Language Models0
The Naughtyformer: A Transformer Understands Offensive Humor0
THInC: A Theory-Driven Framework for Computational Humor Detection0
Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ColBERT modelF1-score0.98Unverified
2XLNet Large CasedF1-score0.92Unverified
3Multinomial NBF1-score0.88Unverified
4SVMF1-score0.87Unverified
5XGBoostF1-score0.81Unverified
6Decision TreeF1-score0.79Unverified