SOTAVerified

Humor Detection

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

Papers

Showing 2130 of 64 papers

TitleStatusHype
Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense0
#HashtagWars: Learning a Sense of Humor0
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection0
From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection0
EndTimes at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with BERT and Ensembles0
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System0
CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense0
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition0
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection0
Dutch Humor Detection by Generating Negative Examples0
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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