7 articles | last updated: May 17 17:17:56
Researchers from the University of Groningen have developed a neural network trained on multimodal cues from sitcoms to identify sarcasm.
- The AI model was trained using scenes from 'Friends' and 'The Big Bang Theory.'
- Researchers utilized the Multimodal Sarcasm Detection Dataset (MUStARD) for training.
- The model integrates text, audio, and emotional cues for sarcasm detection.
- It achieves approximately 75% accuracy in identifying sarcasm in unlabelled data.
- Potential applications include improving communication for AI assistants and identifying negative tones in language.
People, Places and Things In This Story
- Mustard Condiment
- Artificial intelligence Field of study
- University of Groningen Research university in Groningen, Netherlands
- The Big Bang Theory American sitcom
- Friends American sitcom
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