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

Creator:

Arighi, Cecilia N., Carterette, Ben, Cohen, K. Bretonnel, Krallinger, Martin, Wilbur, W. John, Fey, Petra, Dodson, Robert, Cooper, Laurel, Van Slyke, Ceri E., Dahdul, Wasila, Mabee, Paula, Li, Donghui, Harris, Bethany, Gillespie, Marc, Jimenez, Silvia, Roberts, Phoebe, Matthews, Lisa, Becker, Kevin, Drabkin, Harold, Bello, Susan, Licata, Luana, Chatr-aryamontri, Andrew, Schaeffer, Mary L., Park, Julie, Haendel, Melissa, Van Auken, Kimberly, Li, Yuling, Chan, Juancarlos, Muller, Hans-Michael, Cui, Hong, Balhoff, James P., Wu, Johnny Chi-Yang, Lu, Zhiyong, Wei, Chih-Hsuan, Tudor, Catalina O., Raja, Kalpana, Subramani, Suresh, Natarajan, Jeyakumar, Cejuela, Juan Miguel, Dubey, Pratibha, and Wu, Cathy

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...

Resource Type:

Article

Full Text:

Licata17, Andrew Chatr-aryamontri18, Mary L. Schaeffer19, Julie Park20, Melissa Haendel21, Kimberly Van