buppt/ChineseNER
中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF
This project helps you automatically identify and extract specific types of information, like names of people, places, or organizations, from Chinese text. You provide raw Chinese text, and it returns the same text with identified entities highlighted or listed separately. This is useful for anyone working with large volumes of Chinese documents who needs to categorize or analyze specific data points.
1,460 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately find and label named entities within Chinese language documents, such as news articles or reports.
Not ideal if you require a highly customized model for very specific or unusual entity types, or if you need state-of-the-art accuracy on highly nuanced text.
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1,460
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390
Language
Python
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Last pushed
Mar 15, 2020
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