SOTAVerified

Humor Detection

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 64 papers

TitleStatusHype
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor—0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
A Dataset for Detecting Humor in Telugu Social Media TextCode0
CHoRaL: Collecting Humor Reaction Labels from Millions of Social Media Users—0
Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection—0
Humor Generation and Detection in Code-Mixed Hindi-English—0
hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense—0
Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense—0
EndTimes at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with BERT and Ensembles—0
RedwoodNLP at SemEval-2021 Task 7: Ensembled Pretrained and Lightweight Models for Humor Detection—0
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense—0
DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense—0
UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection—0
CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense—0
DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense RatingCode0
MLEngineer at SemEval-2020 Task 7: BERT-Flair Based Humor Detection Model (BFHumor)—0
UniTuebingenCL at SemEval-2020 Task 7: Humor Detection in News Headlines—0
Funny3 at SemEval-2020 Task 7: Humor Detection of Edited Headlines with LSTM and TFIDF Neural Network System—0
Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning—0
Dutch Humor Detection by Generating Negative Examples—0
Crossing the Line: Where do Demographic Variables Fit into Humor Detection?—0
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection—0
Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets—0
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor—0
On the Use of Emojis to Train Emotion ClassifiersCode0
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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