A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools. - Karin Verspoor; Kevin Bretonnel Cohen; Arrick Lanfranchi; Colin Warner; Helen L. Johnson 001; Christophe Roeder; Jinho D. Choi; Christopher S. Funk; Yuriy Malenkiy; Miriam Eckert; Nianwen Xue; William A. Baumgartner Jr.; et al. (BMC Bioinform., 2012)

Combining heterogeneous data sources for accurate functional annotation of proteins. - Artem Sokolov; Christopher S. Funk; Kiley Graim; Karin Verspoor; Asa Ben-Hur (BMC Bioinform., 2013)

Combining Heterogenous Data for Prediction of Disease Related and Pharmacogenes. - Christopher S. Funk; Lawrence E. Hunter; K. Bretonnel Cohen (Pacific Symposium on Biocomputing, 2014)

Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters. - Christopher S. Funk; William A. Baumgartner Jr.; Benjamin Garcia; Christophe Roeder; Michael Bada; K. Bretonnel Cohen; Lawrence E. Hunter; Karin Verspoor (BMC Bioinform., 2014)

Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct. - Christopher S. Funk; Indika Kahanda; Asa Ben-Hur; Karin M. Verspoor (J. Biomed. Semant., 2015)

Gene Ontology synonym generation rules lead to increased performance in biomedical concept recognition. - Christopher S. Funk; K. Bretonnel Cohen; Lawrence E. Hunter; Karin M. Verspoor (J. Biomed. Semant., 2016)