BERT-NER and Bert-BiLSTM-CRF-pytorch
About BERT-NER
kamalkraj/BERT-NER
Pytorch-Named-Entity-Recognition-with-BERT
This tool helps extract key entities like people, organizations, and locations from text. You provide raw text documents, and it identifies and labels these specific entities within the content. This is useful for anyone who needs to quickly find and categorize important information from large volumes of unstructured text, such as researchers, analysts, or content managers.
About Bert-BiLSTM-CRF-pytorch
cooscao/Bert-BiLSTM-CRF-pytorch
bert-bilstm-crf implemented in pytorch for named entity recognition.
This tool helps you automatically identify and extract specific types of entities, like names of people, places, or medical terms, from Chinese text. You input raw Chinese text that has been prepared into a specific 'BIO' format, and the system outputs the same text with the identified entities tagged. This is useful for anyone working with large volumes of Chinese text data, such as researchers, linguists, or data analysts.
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