A capsule network with dynamic routing is reported to classify SNIPS intents with 95.6% accuracy, but uncontrolled baselines and missing experimental details undermine the claim.
Time-Aware and Multi-Source Feature Fusion for Transformer-Based Medical Text Analysis
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Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction
A capsule network with dynamic routing is reported to classify SNIPS intents with 95.6% accuracy, but uncontrolled baselines and missing experimental details undermine the claim.