Michael James Bommarito II and Daniel Martin Katz, both of the University of Michigan at Ann Arbor, Center for Study of Complex Systems, have posted the slides of their presentation entitled Building the U.S. Supreme Court Disposition Corpus 1791-2009, given at the University of Pennsylvania Computational Linguistics Lunch (CLunch) and the Linguistic Data Consortium (LDC) in January 2010.
The presentation describes the purposes, development, and attributes of the corpus, which includes disposition, voting, and citation data, and full text content of all of the Court’s opinions.
According to the authors, potential applications of the corpus include:
- “Training prediction models
- Understanding judicial behavior
- Evaluating judicial fidelity”
For more information, please see the slides.
Tags: Citations in U.S. Supreme Court decisions, Computational Legal Studies, Daniel Martin Katz, Judicial Citations, Legal citation networks, Legal citations, Legal communication, Legal communication data sets, Legal informatics data sets, Legal semantic networks, Legal text analysis, Legal text mining, Michael James Bommarito, U.S. Supreme Court decisions, U.S. Supreme Court Disposition Corpus, United States Supreme Court citations, United States Supreme Court decisions, United States Supreme Court Disposition Corpus, Voting by U.S. Supreme Court Justices