Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection

Multimodal learning is an emerging yet challenging research area. In this paper, we deal with multimodal sarcasm and humor detection from conversational videos and image-text pairs. Being a fleeting action, which is reflected across the modalities, sarcasm detection is challenging since large datase...

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Bibliographic Details
Main Authors: Pramanick, Shraman, Roy, Aniket, Johns, Vishal M. Patel
Format: Conference Proceeding
Language:English
Subjects:
Benchmark testing
Computer vision
Learning systems
Synchronization
Task analysis
Training
Training data
Vision and Languages Multimedia Applications
Vision Systems and Applications
Online Access:Request full text
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