yumath/bertNER
ChineseNER based on BERT, with BiLSTM+CRF layer
This project helps developers build or enhance systems that need to identify and extract specific entities like names of people, organizations, or locations from Chinese text. It takes raw Chinese sentences or documents as input and outputs the same text with key entities automatically labeled. This is used by software developers or data scientists working on natural language processing applications for Chinese.
457 stars. No commits in the last 6 months.
Use this if you are a developer looking for a highly accurate and robust solution for Chinese Named Entity Recognition, especially when dealing with new or previously unseen terms.
Not ideal if you need to perform Named Entity Recognition for languages other than Chinese, or if you prefer a simpler model without the performance of BERT.
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457
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Python
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Last pushed
Jun 18, 2021
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