hemingkx/CLUENER2020
A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.
This project helps you automatically identify and extract key entities like names, organizations, locations, books, and movies from Chinese text. You provide raw Chinese sentences, and it outputs the sentences with specific entity types tagged and their locations. This tool is designed for data scientists, NLP practitioners, or researchers working with Chinese language processing tasks.
518 stars. No commits in the last 6 months.
Use this if you need to precisely locate and classify specific types of named entities within Chinese text for information extraction or data enrichment.
Not ideal if your primary need is general text classification, sentiment analysis, or if you're working with languages other than Chinese.
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518
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106
Language
Python
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Last pushed
Jan 25, 2021
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