SOTAVerified

Humor Detection

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 64 papers

TitleStatusHype
XGBoost: A Scalable Tree Boosting SystemCode4
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingCode1
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment AnalysisCode1
SynthesizRR: Generating Diverse Datasets with Retrieval AugmentationCode1
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme ClassificationCode1
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction ExpertsCode1
Humor Detection: A Transformer Gets the Last LaughCode1
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and StressCode1
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational HumorCode1
A Sentiment and Emotion Aware Multimodal Multiparty Humor Recognition in Multilingual Conversational Setting—0
DLJUST at SemEval-2021 Task 7: Hahackathon: Linking Humor and Offense—0
hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense—0
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor—0
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection—0
Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets—0
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition—0
Deceptive Humor: A Synthetic Multilingual Benchmark Dataset for Bridging Fabricated Claims with Humorous Content—0
DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison—0
Funny3 at SemEval-2020 Task 7: Humor Detection of Edited Headlines with LSTM and TFIDF Neural Network System—0
CHoRaL: Collecting Humor Reaction Labels from Millions of Social Media Users—0
Grenzlinie at SemEval-2021 Task 7: Detecting and Rating Humor and Offense—0
#HashtagWars: Learning a Sense of Humor—0
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System—0
Humor as Circuits in Semantic Networks—0
From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection—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