BERT-NER and bern
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 bern
dmis-lab/bern
A neural named entity recognition and multi-type normalization tool for biomedical text mining
This tool helps researchers and scientists working with biomedical literature automatically identify and categorize important biological entities within text. You input raw biomedical text or PubMed IDs, and it outputs a structured list of recognized entities like genes, diseases, chemicals, and species, along with their standardized names. It's designed for anyone analyzing large volumes of scientific papers to extract key biological information.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work