SOTAVerified

Humor Detection

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 64 papers

TitleStatusHype
XGBoost: A Scalable Tree Boosting SystemCode4
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingCode1
Humor Detection: A Transformer Gets the Last LaughCode1
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme ClassificationCode1
SynthesizRR: Generating Diverse Datasets with Retrieval AugmentationCode1
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment AnalysisCode1
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and StressCode1
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction ExpertsCode1
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational HumorCode1
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor RecognitionCode0
DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense RatingCode0
A Crowd-Annotated Spanish Corpus for Humor AnalysisCode0
Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor DetectionCode0
Is This a Joke? Detecting Humor in Spanish TweetsCode0
Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First ResultsCode0
On the Use of Emojis to Train Emotion ClassifiersCode0
A Dataset for Detecting Humor in Telugu Social Media TextCode0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language ModelsCode0
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"Code0
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System—0
Humor Generation and Detection in Code-Mixed Hindi-English—0
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition—0
Hybrid Multimodal Fusion for Humor Detection—0
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection—0
LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification—0
MLEngineer at SemEval-2020 Task 7: BERT-Flair Based Humor Detection Model (BFHumor)—0
Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection—0
QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter—0
Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models—0
RedwoodNLP at SemEval-2021 Task 7: Ensembled Pretrained and Lightweight Models for Humor Detection—0
SemEval-2017 Task 6: \#HashtagWars: Learning a Sense of Humor—0
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense—0
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks—0
StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos—0
TakeLab at SemEval-2017 Task 6: \#RankingHumorIn4Pages—0
TextMI: Textualize Multimodal Information for Integrating Non-verbal Cues in Pre-trained Language Models—0
The Naughtyformer: A Transformer Understands Offensive Humor—0
Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning—0
UniTuebingenCL at SemEval-2020 Task 7: Humor Detection in News Headlines—0
UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection—0
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor—0
\#WarTeam at SemEval-2017 Task 6: Using Neural Networks for Discovering Humorous Tweets—0
What makes us laugh? Investigations into Automatic Humor Classification—0
THInC: A Theory-Driven Framework for Computational Humor Detection—0
A Sentiment and Emotion Aware Multimodal Multiparty Humor Recognition in Multilingual Conversational Setting—0
AVR: Synergizing Foundation Models for Audio-Visual Humor Detection—0
CHoRaL: Collecting Humor Reaction Labels from Millions of Social Media Users—0
Crossing the Line: Where do Demographic Variables Fit into Humor Detection?—0
CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense—0
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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