SOTAVerified

Humor Detection

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

Papers

Showing 5160 of 64 papers

TitleStatusHype
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System0
What makes us laugh? Investigations into Automatic Humor Classification0
A Crowd-Annotated Spanish Corpus for Humor AnalysisCode0
SemEval-2017 Task 6: \#HashtagWars: Learning a Sense of Humor0
QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter0
TakeLab at SemEval-2017 Task 6: \#RankingHumorIn4Pages0
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition0
DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison0
\#WarTeam at SemEval-2017 Task 6: Using Neural Networks for Discovering Humorous Tweets0
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection0
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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