Evaluation of BioCreAtIvE assessment of task 2

Background: Molecular Biology accumulated substantial amounts of data concerning functions of genes and proteins. Information relating to functional descriptions is generally extracted manually from textual data and stored in biological databases to build up annotations for large collections of gene products. Those annotation databases are crucial for the interpretation of large scale analysis approaches using bioinformatics or experimental techniques. Due to the growing accumulation of functional descriptions in biomedical literature the need for text mining tools to facilitate the extraction of such annotations is urgent. In order to make text mining tools useable in real world scenarios, for instance to assist database curators during annotation of protein function, comparisons and evaluations of different approaches on full text articles are needed. Results: The Critical Assessment for Information Extraction in Biology (BioCreAtIvE) contest consists of a community wide competition...

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Christian Blaschke, Eduardo Andrés León, Martin Krallinger, Alfonso Valencia
• Keywords: Annotation, BMCBI 2005, Protein, Text Mining Tools