SOTAVerified

Humor Detection

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

Papers

Showing 1120 of 64 papers

TitleStatusHype
A Crowd-Annotated Spanish Corpus for Humor AnalysisCode0
Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First ResultsCode0
Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor DetectionCode0
On the Use of Emojis to Train Emotion ClassifiersCode0
Is This a Joke? Detecting Humor in Spanish TweetsCode0
A Dataset for Detecting Humor in Telugu Social Media TextCode0
DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense RatingCode0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language ModelsCode0
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"Code0
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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