Dr. Vetle Torvik fhas developed a new software tool for identifying scientific articles cited by patents. Using advanced probabilistic models and machine learning, the software tracks down the links to databases containing a particular citation. It can determine the names of articles and the authors cited by the examiner even if the citation does not adhere to any standard format with improved accuracy over existing methods.

For more information please see the poster here for details: https://www.ideals.illinois.edu/handle/2142/54885 [2]