EXTRACT 2.0: text-mining-assisted interactive annotation of biomedical named entities and ontology terms

1. INTRODUCTION 1. INTRODUCTION 2. EXPANDED SCOPE OF... FUNDING REFERENCES Databases increasingly rely on text-mining tools to support the curation process. The BioCreative interactive annotation task recently evaluated several such tools and found our tool EXTRACT to perform favorably in terms of usability and accelerated curation by 15-25% (Wang et al, 2016).\n\nThe original version of EXTRACT was designed to support annotation of metagenomic samples with semantically controlled environmental descriptors (Pafilis et al., 2016). For this reason, it focused on named entity recognition of terms from the Environment Ontology (ENVO) (Buttigieg et al., 2016) and ontologies relevant for describing host organisms (https://www.ncbi.nl ...