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Published by Springer, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
Seller: Basi6 International, Irving, TX, U.S.A.
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ISBN 10: 3540710086ISBN 13: 9783540710080
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ISBN 10: 3540710086ISBN 13: 9783540710080
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ISBN 10: 3540710086ISBN 13: 9783540710080
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Published by Springer, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
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Published by Springer, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
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Published by Springer, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
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Published by Springer, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
Seller: Majestic Books, Hounslow, United Kingdom
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Published by Springer, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
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Published by Springer, 2022
ISBN 10: 9811929270ISBN 13: 9789811929274
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Published by Springer Berlin Heidelberg Mrz 2007, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the thoroughly refereed joint post-proceedings of the 17th and 18th annual conferences of the Japanese Society for Artificial Intelligence, JSAI 2003 and JSAI 2004, and co-located international workshops, held in Niigata, Japan in June 2003 and in Kanazawa, Japan in May/June 2004 respectively. It features a number of award winning papers as well as revised full workshop papers from these conferences. 568 pp. Englisch.
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Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed joint post-proceedings of the 17th and 18th annual conferences of the Japanese Society for Artificial Intelligence, JSAI 2003 and JSAI 2004, and co-located international workshops, held in Niigata, Japan in June 2003 and in Kanazawa, Japan in May/June 2004 respectively. It features a number of award winning papers as well as revised full workshop papers from these conferences.
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
Seller: moluna, Greven, Germany
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the thoroughly refereed joint post-proceedings of the 17th and 18th annual conferences of the Japanese Society for Artificial Intelligence, JSAI 2003 and JSAI 2004, and co-located international workshops, held in Niigata, Japan in J.
Seller: Librairie Chat, Beijing, China
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Published by Springer, 2023
ISBN 10: 9811929300ISBN 13: 9789811929304
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Soft Cover. Condition: new.
Published by Springer, 2022
ISBN 10: 9811929270ISBN 13: 9789811929274
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by Springer, 2007
ISBN 10: 3540710086ISBN 13: 9783540710080
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Published by Springer Nature Singapore Aug 2022, 2022
ISBN 10: 9811929270ISBN 13: 9789811929274
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 172 pp. Englisch.
Published by Springer Nature Singapore Aug 2023, 2023
ISBN 10: 9811929300ISBN 13: 9789811929304
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 172 pp. Englisch.
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811929270ISBN 13: 9789811929274
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 9811929300ISBN 13: 9789811929304
Seller: moluna, Greven, Germany
Book Print on Demand
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .
Published by Springer Nature Singapore, 2022
ISBN 10: 9811929270ISBN 13: 9789811929274
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Published by Springer Nature Singapore, 2023
ISBN 10: 9811929300ISBN 13: 9789811929304
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Published by Springer, 2023
ISBN 10: 9811929300ISBN 13: 9789811929304
Seller: Revaluation Books, Exeter, United Kingdom
Book
Paperback. Condition: Brand New. 168 pages. 9.25x6.10x0.37 inches. In Stock.