lonePatient/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
This project helps natural language processing engineers and researchers extract specific pieces of information, such as names, locations, or organizations, from Chinese text. It takes raw Chinese sentences and outputs the same text with each character labeled by the type of entity it belongs to. This is ideal for NLP practitioners working on information extraction or text analysis tasks for the Chinese language.
2,236 stars. No commits in the last 6 months.
Use this if you need to identify and categorize specific entities within Chinese text documents.
Not ideal if your primary need is for languages other than Chinese or if you don't have a background in natural language processing model deployment.
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Language
Python
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MIT
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Last pushed
Mar 11, 2023
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