State by State : automated alignment and analysis of state statutes
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February 2014.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/91831 |
| _version_ | 1811086239016681472 |
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| author | Hynes, Zachary (Zachary K.) |
| author2 | Regina Barzilay. |
| author_facet | Regina Barzilay. Hynes, Zachary (Zachary K.) |
| author_sort | Hynes, Zachary (Zachary K.) |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February 2014. |
| first_indexed | 2024-09-23T13:23:02Z |
| format | Thesis |
| id | mit-1721.1/91831 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:23:02Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/918312019-04-11T13:08:39Z State by State : automated alignment and analysis of state statutes Automated alignment and analysis of state statutes Hynes, Zachary (Zachary K.) Regina Barzilay. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February 2014. "February 2014." Cataloged from PDF version of thesis. 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. by Zachary Hynes. M. Eng. 2014-11-24T18:38:18Z 2014-11-24T18:38:18Z 2014 Thesis http://hdl.handle.net/1721.1/91831 894229792 eng 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 29 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Hynes, Zachary (Zachary K.) State by State : automated alignment and analysis of state statutes |
| title | State by State : automated alignment and analysis of state statutes |
| title_full | State by State : automated alignment and analysis of state statutes |
| title_fullStr | State by State : automated alignment and analysis of state statutes |
| title_full_unstemmed | State by State : automated alignment and analysis of state statutes |
| title_short | State by State : automated alignment and analysis of state statutes |
| title_sort | state by state automated alignment and analysis of state statutes |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/91831 |
| work_keys_str_mv | AT hyneszacharyzacharyk statebystateautomatedalignmentandanalysisofstatestatutes AT hyneszacharyzacharyk automatedalignmentandanalysisofstatestatutes |