Accelerating annotation of articles via automated approaches: evaluation of the neXtA5 curation-support tool by neXtProt.

ABSTRACT: The development of efficient text-mining tools promises to boost the curation workflow by significantly reducing the time needed to process the literature into biological databases. We have developed a curation support tool, neXtA5, that provides a search engine coupled with an annotation system directly integrated into a biocuration workflow. neXtA5 assists curation with modules optimized for the thevarious curation tasks: document triage, entity recognition and information extraction.Here, we describe the evaluation of neXtA5 by expert curators. We first assessed the annotations of two independent curators to provide a baseline for comparison. To evaluate the performance of neXtA5, we submitted requests and compared the neXtA5 results with the manual curation. The analysis focuses on the

SUBMITTER: Britan A 

PROVIDER: S-EPMC6301339 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature