tongchangD/bert_ner_for_corrector
基于NER的文本纠错
This project helps operations engineers and HR managers automatically extract key information from Chinese resumes. By taking raw Chinese text containing resume details, it identifies and categorizes specific entities like names, locations, and organizations. The output is a structured list of these identified entities, making it easier to process and analyze large volumes of resume data.
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Use this if you need to precisely identify and extract specific named entities from unstructured Chinese text, especially from resumes.
Not ideal if your task involves correcting grammatical errors or improving the overall fluency of Chinese text, as this project focuses solely on entity recognition.
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Language
Python
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Last pushed
Dec 27, 2023
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