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
Humor Generation and Detection in Code-Mixed Hindi-English—0
UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection—0
EndTimes at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with BERT and Ensembles—0
DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense RatingCode0
RedwoodNLP at SemEval-2021 Task 7: Ensembled Pretrained and Lightweight Models for Humor Detection—0
DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense—0
CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense—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
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense—0
Funny3 at SemEval-2020 Task 7: Humor Detection of Edited Headlines with LSTM and TFIDF Neural Network System—0
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
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
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment AnalysisCode1
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational HumorCode1
Humor Detection: A Transformer Gets the Last LaughCode1
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingCode1
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
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"Code0
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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