jiangqn/NLP-Interpretation
A paper list for interpreting neural networks in natural language processing.
This is a curated list of research papers and tutorials focused on understanding how neural networks process and interpret natural language. It helps researchers and practitioners in natural language processing (NLP) to explore methods for analyzing, understanding, and explaining the behavior of their NLP models. You'll find resources on what linguistic information models capture, how to visualize their internal workings, and techniques for explaining specific predictions.
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Use this if you are a researcher or advanced practitioner in Natural Language Processing who needs to delve into the mechanisms behind neural network models and understand how they arrive at their predictions.
Not ideal if you are a beginner looking for an introduction to general NLP concepts or a developer seeking ready-to-use code for building NLP applications.
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Mar 10, 2021
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