Analysis of legal argumentation documents : a computational argumentation approach / Hayato Hirata, Katsumi Nitta.
Hirata, Hayato, 1957- author.; Nitta, Katsumi, author.
2022
K487.T4
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Analysis of legal argumentation documents : a computational argumentation approach / Hayato Hirata, Katsumi Nitta.
Author Hirata, Hayato, 1957- author.
ISBN 9789811929281 (electronic bk.)
9811929289 (electronic bk.)
9789811929274
9811929270
DOI https://doi.org/10.1007/978-981-19-2928-1
Published Singapore : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (xiii, 155 pages) : illustrations.
Item Number 10.1007/978-981-19-2928-1 doi
Call Number K487.T4
Dewey Decimal Classification 344/.095
Summary This book introduces methods to analyze legal documents such as negotiation records and legal precedents, using computational argumentation theory. First, a method to automatically evaluate argumentation skills from the records of argumentation exercises is proposed. In law school, argumentation exercises are often conducted and many records of them are produced. From each utterance in the record, a pattern of "speech act +factor" is extracted, and argumentation skills are evaluated from the sequences of the patterns, using a scoring prediction model constructed by multiple regression analyses between the appearance pattern and the scoring results. The usefulness of this method is shown by applying it to the example case "the garbage house problem." Second, a method of extracting factors (elements that characterize precedents and cases) and legal topoi from individual precedents and using them as the expression of precedents to analyze how the pattern of factors and legal topoi appearing in a group of precedents affects the judgment (plaintiff wins/defendant wins) is proposed. This method has been applied to a group of tax cases. Third, the logical structure of 70 labor cases is described in detail by using factors and a bipolar argumentation framework (BAF) and an (extended argumentation framework (EAF) together. BAF describes the logical structure between plaintiff and defendant, and EAF describes the decision of the judge. Incorporating the legal topoi into the EAF of computational argumentation theory, the strength of the analysis of precedents by combined use of factored BAF and EAF, not only which argument the judge adopted could be specified. It was also possible to determine what kind of value judgment was made and to verify the logic. The analysis methods in this book demonstrate the application of logic-based AI methods to the legal domain, and they contribute to the education and training of law school students in logical ways of argumentation.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Nitta, Katsumi, author.
Series Translational systems sciences ; v. 29.
Available in Other Form Analysis of legal argumentation documents.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Chapter 1. Introduction
Chapter 2. Related Research
Chapter 3
Factor-Based Argumentation Evaluation
Chapter 4. Case Analysis Using Factors and Legal Topoi
Chapter 5. Case Analysis for Case Law Education using Factors and Computational Argumentation Theory
Chapter 6. Conclusion.

Browse Subjects

Show more subjects...

Statistics

from
to
Export