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Satire Detection
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Satire detection consists in detecting when a text is written in a satirical tone and its content shouldn't be interpreted literally.
논문
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MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs
Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis
Dataset of Fake News Detection and Fact Verification: A Survey
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection
A Multi-Modal Method for Satire Detection using Textual and Visual Cues
Adversarial Training for Satire Detection: Controlling for Confounding Variables
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