10 open source projects by ncbi-nlp

BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.

📰 High-performance tool for negation and uncertainty detection in radiology reports

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

PhenoTagger

ML-Net is a novel end-to-end deep learning framework for multi-label classification of biomedical tasks. ML-Net combines the label prediction network with a label count prediction network, which can determine the output labels based on both label confidence scores and document context in an end-to-end manner.

Abbreviation definition dection library trained on PubMed abstracts

Machine-learning based pipeline relying on LambdaMART currently used in PubMed for relevance (Best Match) searches

Text annotation tool for team collaboration