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Recognizing cited facts and principles in legal judgements

Olga Shulayeva, Advaith Siddharthan, Adam Wyner Orcid Logo

Artificial Intelligence and Law, Volume: 25, Issue: 1, Pages: 107 - 126

Swansea University Author: Adam Wyner Orcid Logo

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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...

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Published in: Artificial Intelligence and Law
ISSN: 0924-8463 1572-8382
Published: Springer 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa40674
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first_indexed 2018-06-07T19:34:29Z
last_indexed 2023-01-11T14:17:15Z
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spelling 2022-09-28T16:54:59.5137661 v2 40674 2018-06-07 Recognizing cited facts and principles in legal judgements 51fa34a3136b8e81fc273fce73e88099 0000-0002-2958-3428 Adam Wyner Adam Wyner true false 2018-06-07 SCS 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. Journal Article Artificial Intelligence and Law 25 1 107 126 Springer 0924-8463 1572-8382 law, machine learning, legal facts, legal principles, corpus 31 12 2017 2017-12-31 10.1007/s10506-017-9197-6 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2022-09-28T16:54:59.5137661 2018-06-07T15:51:49.5023782 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Olga Shulayeva 1 Advaith Siddharthan 2 Adam Wyner 0000-0002-2958-3428 3 0040674-11062018165158.pdf FactsPrinciplesLaw.pdf 2018-06-11T16:51:58.0330000 Output 441686 application/pdf Version of Record true 2018-06-11T00:00:00.0000000 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License. true eng
title Recognizing cited facts and principles in legal judgements
spellingShingle Recognizing cited facts and principles in legal judgements
Adam Wyner
title_short Recognizing cited facts and principles in legal judgements
title_full Recognizing cited facts and principles in legal judgements
title_fullStr Recognizing cited facts and principles in legal judgements
title_full_unstemmed Recognizing cited facts and principles in legal judgements
title_sort Recognizing cited facts and principles in legal judgements
author_id_str_mv 51fa34a3136b8e81fc273fce73e88099
author_id_fullname_str_mv 51fa34a3136b8e81fc273fce73e88099_***_Adam Wyner
author Adam Wyner
author2 Olga Shulayeva
Advaith Siddharthan
Adam Wyner
format Journal article
container_title Artificial Intelligence and Law
container_volume 25
container_issue 1
container_start_page 107
publishDate 2017
institution Swansea University
issn 0924-8463
1572-8382
doi_str_mv 10.1007/s10506-017-9197-6
publisher Springer
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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description 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.
published_date 2017-12-31T03:49:46Z
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