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Humor Detection
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Humor detection is the task of identifying comical or amusing elements.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Deceptive Humor: A Synthetic Multilingual Benchmark Dataset for Bridging Fabricated Claims with Humorous Content
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
THInC: A Theory-Driven Framework for Computational Humor Detection
LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification
AVR: Synergizing Foundation Models for Audio-Visual Humor Detection
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models
Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks
From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
TextMI: Textualize Multimodal Information for Integrating Non-verbal Cues in Pre-trained Language Models
The Naughtyformer: A Transformer Understands Offensive Humor
Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results
Hybrid Multimodal Fusion for Humor Detection
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress
Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection
Dutch Humor Detection by Generating Negative Examples
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
Humor Detection: A Transformer Gets the Last Laugh
XLNet: Generalized Autoregressive Pretraining for Language Understanding
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor
On the Use of Emojis to Train Emotion Classifiers
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System
A Crowd-Annotated Spanish Corpus for Humor Analysis
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection
Is This a Joke? Detecting Humor in Spanish Tweets
#HashtagWars: Learning a Sense of Humor
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