This project uses selected resources from the LLT Lab’s data projects (e.g., the vaccine-injury compensation logic models) to develop natural language processing software that can automatically identify and annotate portions of legal texts for elements related to legal argumentation and reasoning. The software we employ in this project is the Eclipse editing framework, along with the UIMA (Unstructured Information Management Architecture) framework that underlies IBM’s work on the Watson Jeopardy! program. Our collaboration on this project is with the University of Pittsburgh (with its Intelligent Systems Program and the School of Law) and with Carnegie Mellon University (with its Language Technologies Institute, School of Computer Science). In the project, we also help support Carnegie Mellon engineering students in a capstone Master’s course, where the computer programs are actually written and tested. So far this research has resulted in three published papers co-authored with members of those institutions.


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