BERT-NER and ner-bert
These are competitors offering similar PyTorch implementations of Named Entity Recognition using BERT, with the first being a more popular standalone project while the second is a wrapper around Google's official BERT model.
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 ner-bert
ai-forever/ner-bert
BERT-NER (nert-bert) with google bert https://github.com/google-research.
This project helps you automatically identify and extract key entities like names, locations, or organizations from text documents. You provide raw text data, and it outputs the same text with specific words or phrases tagged with their respective categories. This is useful for data scientists, natural language processing engineers, or anyone working with large volumes of unstructured text who needs to quickly find specific information.
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