Analysis of Legal Argumentation Documents: A Computational Argumentation Approach
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 exe...
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| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch Software E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2022
Imprint: Springer |
| Ausgabe: | 1st ed. |
| Schriftenreihe: | Translational Systems Sciences
Volume 29 |
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-M382 DE-91 DE-19 DE-706 DE-29 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XIII, 155 Seiten) Illustration |
| ISBN: | 9789811929281 |
| DOI: | 10.1007/978-981-19-2928-1 |
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Datensatz im Suchindex
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| author | Hirata, Hayato Nitta, Katsumi |
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| contents | 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 |
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| series | Translational Systems Sciences |
| series2 | Translational Systems Sciences |
| spelling | Hirata, Hayato Verfasser (DE-588)1276760027 aut Analysis of Legal Argumentation Documents A Computational Argumentation Approach by Hayato Hirata, Katsumi Nitta 1st ed. Singapore Springer Nature Singapore 2022 Imprint: Springer 1 Online-Ressource (XIII, 155 Seiten) Illustration txt rdacontent c rdamedia cr rdacarrier text file PDF rda Translational Systems Sciences Volume 29 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 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 Labour Law/Social Law Theories of Law, Philosophy of Law, Legal History Philosophy of Law Artificial Intelligence Social legislation Law-Philosophy Law-History Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Arbeitsrecht (DE-588)4002769-7 gnd rswk-swf Fallstudie (DE-588)4124897-1 gnd rswk-swf Steuerrecht (DE-588)4116614-0 gnd rswk-swf Rechtsprechung (DE-588)4115710-2 gnd rswk-swf Steuerrecht (DE-588)4116614-0 s Arbeitsrecht (DE-588)4002769-7 s Fallstudie (DE-588)4124897-1 s Rechtsprechung (DE-588)4115710-2 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Nitta, Katsumi Verfasser (DE-588)1276759967 aut Erscheint auch als Druck-Ausgabe, hardback 978-981-19-2927-4 Erscheint auch als Druck-Ausgabe 978-981-19-2929-8 Erscheint auch als Druck-Ausgabe, paperback 978-981-19-2930-4 Translational Systems Sciences Volume 29 (DE-604)BV043279617 29 https://doi.org/10.1007/978-981-19-2928-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Hirata, Hayato Nitta, Katsumi Analysis of Legal Argumentation Documents A Computational Argumentation Approach Translational Systems Sciences 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 Labour Law/Social Law Theories of Law, Philosophy of Law, Legal History Philosophy of Law Artificial Intelligence Social legislation Law-Philosophy Law-History Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Arbeitsrecht (DE-588)4002769-7 gnd Fallstudie (DE-588)4124897-1 gnd Steuerrecht (DE-588)4116614-0 gnd Rechtsprechung (DE-588)4115710-2 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4002769-7 (DE-588)4124897-1 (DE-588)4116614-0 (DE-588)4115710-2 |
| title | Analysis of Legal Argumentation Documents A Computational Argumentation Approach |
| title_auth | Analysis of Legal Argumentation Documents A Computational Argumentation Approach |
| title_exact_search | Analysis of Legal Argumentation Documents A Computational Argumentation Approach |
| title_exact_search_txtP | Analysis of Legal Argumentation Documents A Computational Argumentation Approach |
| title_full | Analysis of Legal Argumentation Documents A Computational Argumentation Approach by Hayato Hirata, Katsumi Nitta |
| title_fullStr | Analysis of Legal Argumentation Documents A Computational Argumentation Approach by Hayato Hirata, Katsumi Nitta |
| title_full_unstemmed | Analysis of Legal Argumentation Documents A Computational Argumentation Approach by Hayato Hirata, Katsumi Nitta |
| title_short | Analysis of Legal Argumentation Documents |
| title_sort | analysis of legal argumentation documents a computational argumentation approach |
| title_sub | A Computational Argumentation Approach |
| topic | Labour Law/Social Law Theories of Law, Philosophy of Law, Legal History Philosophy of Law Artificial Intelligence Social legislation Law-Philosophy Law-History Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Arbeitsrecht (DE-588)4002769-7 gnd Fallstudie (DE-588)4124897-1 gnd Steuerrecht (DE-588)4116614-0 gnd Rechtsprechung (DE-588)4115710-2 gnd |
| topic_facet | Labour Law/Social Law Theories of Law, Philosophy of Law, Legal History Philosophy of Law Artificial Intelligence Social legislation Law-Philosophy Law-History Artificial intelligence Künstliche Intelligenz Arbeitsrecht Fallstudie Steuerrecht Rechtsprechung |
| url | https://doi.org/10.1007/978-981-19-2928-1 |
| volume_link | (DE-604)BV043279617 |
| work_keys_str_mv | AT hiratahayato analysisoflegalargumentationdocumentsacomputationalargumentationapproach AT nittakatsumi analysisoflegalargumentationdocumentsacomputationalargumentationapproach |