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E-grāmata: Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language

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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 6036
  • Izdošanas datums: 10-May-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783642128370
  • Formāts - PDF+DRM
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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 6036
  • Izdošanas datums: 10-May-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783642128370

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Recent years have seen much new research on the interface between artificial intelligence and law, looking at issues such as automated legal reasoning. This collection of papers represents the state of the art in this fascinating and highly topical field.

The last few years have seen a growing body of research and practice addressing aspects such as automated legal reasoning and argumentation, semantic and cross-language legal information retrieval, document classification, legal drafting, legal knowledge discovery and extraction.This State-of-the-Art Survey contains invited contributions of leading researchers and groups eminently active in the field, which were complemented with selected papers from the Workshop on Semantic Processing of Legal Texts, held in Marrakech, Morocco, in 2008, within the framework of the Sixth International Conference on Language Resources and Evaluation (LREC 2008).These publications mirror the state-of-the-art in linguistic technologies, tools and resources focusing on the automatic extraction of relevant information from legal texts, and the structured organization of this extracted knowledge for legal knowledge representation and scholarly activity, with particular emphasis on the crucial role played by language resources and human language technologies.The contents are organized in three topical sections on information extraction; construction of knowledge resources; and semantic indexing, summarization and translation.
PART I Legal Text Processing and Information Extraction
Legal Language and Legal Knowledge Management Applications
3(24)
Giulia Venturi
Named Entity Recognition and Resolution in Legal Text
27(17)
Christopher Dozier
Ravikumar Kondadadi
Marc Light
Arun Vachher
Sriharsha Veeramachaneni
Ramdev Wudali
Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents
44(16)
Paulo Quaresma
Teresa Goncalves
Approaches to Text Mining Arguments from Legal Cases
60(23)
Adam Wyner
Raquel Mochales-Palau
Marie-Francine Moens
David Milward
PART II Legal Text Processing and Construction of Knowledge Resources
Automatic Identification of Legal Terms in Czech Law Texts
83(12)
Karel Pala
Pavel Rychly
Pavel Smerk
Integrating a Bottom-Up and Top-Down Methodology for Building Semantic Resources for the Multilingual Legal Domain
95(27)
Enrico Francesconi
Simonetta Montemagni
Wim Peters
Daniela Tiscornia
Ontology Based Law Discovery
122(14)
Alessio Bosea
Luca Dini
Multilevel Legal Ontologies
136(21)
Gianmaria Ajani
Guido Boella
Leonardo Lesmo
Marco Martin
Alessandro Mazzei
Daniele P. Radicioni
Piercarlo Rossi
PART III Legal Text Processing and Semantic Indexing, Summarization and Translation
Semantic Indexing of Legal Documents
157(13)
Erich Schweighofer
Automated Classification of Norms in Sources of Law
170(22)
Emile de Maat
Radboud Winkels
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
192(24)
Eneldo Loza Mencia
Johannes Furnkranz
An Automatic System for Summarization and Information Extraction of Legal Information
216(19)
Emmanuel Chieze
Atefeh Farzindar
Guy Lapalme
Evaluation Metrics for Consistent Translation of Japanese Legal Sentences
235(14)
Yasuhiro Ogawa
Kazuhiro Imai
Katsuhiko Toyama
Author Index 249