Journal article 1307 views 231 downloads
Recognizing cited facts and principles in legal judgements
Artificial Intelligence and Law, Volume: 25, Issue: 1, Pages: 107 - 126
Swansea University Author:
Adam Wyner
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DOI (Published version): 10.1007/s10506-017-9197-6
Abstract
In common law, lawyers cite facts and legal principles from precedent cases for their arguments in support of their current case. Such facts and principles must be identified, though this is a highly time intensive task. We demonstrate that human annotators can agreement on which sentences are facts...
| Published in: | Artificial Intelligence and Law |
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| ISSN: | 0924-8463 1572-8382 |
| Published: |
Springer
2017
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa40674 |
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| Abstract: |
In common law, lawyers cite facts and legal principles from precedent cases for their arguments in support of their current case. Such facts and principles must be identified, though this is a highly time intensive task. We demonstrate that human annotators can agreement on which sentences are facts or principles. A supervised machine learning framework can automatically annotate sentences containing such legal facts and principles based on linguistic features, reporting precision and recall figures of between 0.79 and 0.89 using a Bayesian classifier. |
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| Keywords: |
law, machine learning, legal facts, legal principles, corpus |
| College: |
Faculty of Science and Engineering |
| Issue: |
1 |
| Start Page: |
107 |
| End Page: |
126 |