SemIRNet combines ConceptNet, word-level and sample-level semantic similarity scoring, and contrastive learning to reach 88.87% accuracy on a multimodal irony benchmark.
Image-driven prediction system: Automatic extraction of aggregate gradation of pavement core samples integrating deep learning and interactive image processing framework,
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SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection
SemIRNet combines ConceptNet, word-level and sample-level semantic similarity scoring, and contrastive learning to reach 88.87% accuracy on a multimodal irony benchmark.