State by State : automated alignment and analysis of state statutes

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2014

Author dc:creator

• Hynes, Zachary (Zachary K.)

Advisor dc:contributor.advisor

• Regina Barzilay.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/91831

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/91831