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Enhancing Neural Networks with Logic by chuanmx20 is a document available to read on EtoBox.

This document presents a framework for integrating deep neural networks (DNNs) with structured logic rules to enhance interpretability and flexibility. The proposed iterative distillation method allows neural networks, such as CNNs and RNNs, to learn from both labeled data and logic rules, leading to improved performance on tasks like sentiment analysis and named entity recognition. The approach aims to transfer human knowledge into neural models, achieving state-of-the-art results with fewer parameters com

Author

chuanmx20

Language

EN