SOTAVerified

Humor Detection

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

Papers

Showing 2130 of 64 papers

TitleStatusHype
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection0
Humor Generation and Detection in Code-Mixed Hindi-English0
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor0
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System0
Humor as Circuits in Semantic Networks0
hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense0
DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense0
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition0
Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets0
#HashtagWars: Learning a Sense of Humor0
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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