xuanzebi/BERT-CH-NER
基于BERT的中文命名实体识别
This project helps data scientists and NLP practitioners extract key information from Chinese text. By inputting raw Chinese sentences, it identifies and categorizes important entities like names, locations, and organizations. The output is structured data with identified entities, which can be used for various text analysis tasks.
394 stars. No commits in the last 6 months.
Use this if you need to precisely identify and label specific entities within Chinese text for information extraction or further processing.
Not ideal if you are working with non-Chinese languages or if you require a simple, out-of-the-box solution without any code setup.
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394
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100
Language
Python
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Last pushed
Nov 18, 2019
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