llcing/BiLSTM-CRF-ChineseNER.pytorch
PyTorch implement of BiLSTM-CRF for Chinese NER
This project helps you automatically identify and extract specific named entities like people, locations, or organizations from Chinese text. You provide raw Chinese text data, and it outputs the same text with key entities highlighted or categorized. It's designed for data analysts, linguists, or anyone working with large volumes of Chinese textual information who needs to structure unstructured text.
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Use this if you need to automatically find and classify proper nouns and other key terms within large datasets of Chinese text.
Not ideal if your primary need is for entity recognition in languages other than Chinese, or if you require extremely fine-grained, highly nuanced entity extraction beyond standard categories.
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Feb 15, 2019
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