SOTAVerified

Humor Detection

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

Papers

Showing 5160 of 64 papers

TitleStatusHype
SemEval-2017 Task 6: \#HashtagWars: Learning a Sense of Humor0
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense0
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks0
Is This a Joke? Detecting Humor in Spanish TweetsCode0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor DetectionCode0
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language ModelsCode0
A Dataset for Detecting Humor in Telugu Social Media TextCode0
Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First ResultsCode0
On the Use of Emojis to Train Emotion ClassifiersCode0
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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