SOTAVerified

Humor Detection

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

Papers

Showing 4150 of 64 papers

TitleStatusHype
Crossing the Line: Where do Demographic Variables Fit into Humor Detection?0
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection0
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment AnalysisCode1
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational HumorCode1
Humor Detection: A Transformer Gets the Last LaughCode1
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingCode1
Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets0
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor0
On the Use of Emojis to Train Emotion ClassifiersCode0
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"Code0
Show:102550
← PrevPage 5 of 7Next →

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