SOTAVerified

Humor Detection

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

Papers

Showing 3140 of 64 papers

TitleStatusHype
RedwoodNLP at SemEval-2021 Task 7: Ensembled Pretrained and Lightweight Models for Humor Detection0
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
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
Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning0
UniTuebingenCL at SemEval-2020 Task 7: Humor Detection in News Headlines0
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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