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State by State : automated alignment and analysis of state statutes

Author(s)
Hynes, Zachary (Zachary K.)
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Alternative title
Automated alignment and analysis of state statutes
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Regina Barzilay.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
In this work, we explore text alignment with the context of the legal domain and outline several new tasks designed to make comparison and analysis of inhomogenous state statute hierarchies easier. We explore the unique features of the statute hierarchy dataset, apply several baseline text alignment algorithms, and address the issue of clustering evaluation when documents may belong to multiple clusters. We also explore pairwise alignment strategies and assess these in comparison to clustering methods.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February 2014.
 
"February 2014." Cataloged from PDF version of thesis.
 
Date issued
2014
URI
http://hdl.handle.net/1721.1/91831
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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