Biomedical researchers are currentl

Biomedical researchers are currently coping with an enormous amount of information, both in terms of raw data from experiments and a number of scientific publications describing their results. The sheer amount of information available in scientific literature already exceeds the ability of researchers to digest and is growing at an unprecedented rate. Thus the challenge is how to make effective use of these findings. Text-mining techniques have focused on how to better utilize the knowledge contained in biomedical scientific publications, accessible only in the form of natural human language. Automating the process of understanding the relevant parts of the scientific literature allows for effective searching, creates large-scale models of the relationships of biomedical entities, and enables inference of new information and hypothesis generation for biomedical research.