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natural-language-understanding
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3 search results found
Attention Mechanisms
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294
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Cs224n_learning_note
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39
Stanford cs224n. 斯坦福2019最新cs224n学习资料 个人学习笔记和解读以及作业解答。 http://web.stanford.edu/class/cs224n/
Kortok
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33
The code and models for "An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks" (AACL-IJCNLP 2020)
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