SOTAVerified

Humor Detection

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 64 papers

TitleStatusHype
XGBoost: A Scalable Tree Boosting SystemCode4
Humor Detection: A Transformer Gets the Last LaughCode1
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and StressCode1
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational HumorCode1
SynthesizRR: Generating Diverse Datasets with Retrieval AugmentationCode1
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingCode1
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme ClassificationCode1
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction ExpertsCode1
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment AnalysisCode1
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"Code0
A Crowd-Annotated Spanish Corpus for Humor AnalysisCode0
On the Use of Emojis to Train Emotion ClassifiersCode0
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
Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First ResultsCode0
Is This a Joke? Detecting Humor in Spanish TweetsCode0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
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
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor RecognitionCode0
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection—0
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor—0
Humor as Circuits in Semantic Networks—0
hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense—0
DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense—0
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Benchmark Results

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