wj-Mcat/allennlp-tutorials

a detail tutorials of allennlp , which is based on my own view.

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This collection offers detailed, Chinese-annotated tutorials to help you understand and apply the AllenNLP library. It provides practical guidance and code examples for building natural language processing models, using truncated training data. This is for researchers, data scientists, or NLP practitioners who want to develop or experiment with advanced text processing applications.

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Use this if you are a developer looking for practical, Chinese-annotated examples and techniques to master the AllenNLP framework for natural language processing tasks.

Not ideal if you are looking for a plug-and-play NLP tool or do not have programming experience in Python and machine learning.

natural-language-processing machine-learning-development deep-learning-tutorials text-classification sequence-tagging
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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Jupyter Notebook

License

Apache-2.0

Last pushed

Mar 07, 2020

Commits (30d)

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