syw2014/DeepNLP-models
A repositiory about the practical deep learning models in NLP tasks, all of those models will be implement with tensorflow and test with chinese industrial dataset.
This project offers ready-to-use deep learning models for common natural language processing tasks, particularly useful for those working with Chinese industrial datasets. It takes raw text inputs like queries, documents, or short titles and outputs categorized documents, matched texts, or relevant search results. This is designed for data scientists, machine learning engineers, and NLP practitioners looking to deploy robust text analysis solutions.
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Use this if you need pre-built, high-performance deep learning models for tasks like text matching, search, or document classification, especially for Chinese language applications in an industrial setting.
Not ideal if you're looking for models in domains outside of natural language processing or if you require extensive customization beyond pipeline pre-processing.
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Jun 07, 2022
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