NeuroNER

Why we included this project

NeuroNER is a named-entity recognition tool built on TensorFlow that gives you a working pipeline without having to assemble one yourself. You can train a model on your own annotated dataset, load a pretrained one, or run it over plain text, all through a straightforward command-line or Python interface. It also loads standard benchmark datasets such as CoNLL-2003 for evaluation and works with BRAT if you want to annotate text or review the predictions it makes. For anyone doing information extraction in domains like biomedicine or legal documents, where generic NER models tend to miss the entities that matter, being able to retrain on your own labels is the real draw.