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Advancing Interpretability in Text Classification through Prototype Learning
Deep neural networks have achieved remarkable performance in various text-based tasks but often lack interpretability, making them less suitable for applications where transparency is critical.
Neural Symbolic Logical Rule Learner for Interpretable Learning
Rule-based neural networks stand out for enabling interpretable classification by learning logical rules for both prediction and interpretation.
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