An overview of the BioCreative 2012 Workshop Track III: interactive text mining task.

ABSTRACT: In many databases, biocuration primarily involves literature curation, which usually involves retrieving relevant articles, extracting information that will translate into annotations and identifying new incoming literature. As the volume of biological literature increases, the use of text mining to assist in biocuration becomes increasingly relevant. A number of groups have developed tools for text mining from a computer science/linguistics perspective, and there are many initiatives to curate some aspect of biology from the literature. Some biocuration efforts already make use of a text mining tool, but there have not been many broad-based systematic efforts to study which aspects of a text mining tool contribute to its usefulness for a curation task. Here, we report on an effort to brin

SUBMITTER: Arighi CN 

PROVIDER: S-EPMC3625048 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature