54 A Biomedical Semantic Role Labeling BioC Module for BioCreative IV Po-Ting, Lai 1, 2 , Hong-Jie Dai 3, * , Johnny Chi-Yang Wu 3 and Richard Tzong-Han Tsai 4, * 1 Department of Computer Science, National Tsing-Hua University, HsinChu, Taiwan, R.O.C., 2 Instiutue of Information Science, Academia Sinica, Taipei, Taiwan, R.O.C., 3 Graduate Institute of BioMedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan, R.O.C., 4 Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan, R.O.C. *Corresponding author: E-mail: hjdai@tmu.edu.tw, thtsai@csie.ncu.edu.tw Abstract With respect to the text mining community, the organizers of BioCreative IV have initiated the BioC project in attempt to propel researches within this area by providing a universal format for text mining tools. In this fashion, various tools performing distinct tasks can be integrated seamlessly in a less time- and effort-consuming manner. As a participant, we develop a semantic role labeling BioC module, which provides semantic analysis of biomedical literatures, hoping to benefit researchers with similar interest within the text mining field. The service is available at http://bws.iis.sinica.edu.tw/BioC_BIOSMILE/BioC_Module.svc/SRL. Introduction Figure 1: An example of the predicate-argument structure for the sentence “IL4 and IL13 receptors activate STAT6, STAT3, and STAT5 proteins in the human B cells”