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Semantic Processing of Legal Texts [electronic resource] : Where the Language of Law Meets the Law of Language / edited by Enrico Francesconi, Simonetta Montemagni, Wim Peters, Daniela Tiscornia.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 6036Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: XII, 249p. 42 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642128370
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TJ210.2-211.495
Online resources:
Contents:
Legal Text Processing and Information Extraction -- Legal Language and Legal Knowledge Management Applications -- Named Entity Recognition and Resolution in Legal Text -- Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents -- Approaches to Text Mining Arguments from Legal Cases -- Legal Text Processing and Construction of Knowledge Resources -- Automatic Identification of Legal Terms in Czech Law Texts -- Integrating a Bottom–Up and Top–Down Methodology for Building Semantic Resources for the Multilingual Legal Domain -- Ontology Based Law Discovery -- Multilevel Legal Ontologies -- Legal Text Processing and Semantic Indexing, Summarization and Translation -- Semantic Indexing of Legal Documents -- Automated Classification of Norms in Sources of Law -- Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain -- An Automatic System for Summarization and Information Extraction of Legal Information -- Evaluation Metrics for Consistent Translation of Japanese Legal Sentences.
In: Springer eBooks
Item type: E-BOOKS
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Legal Text Processing and Information Extraction -- Legal Language and Legal Knowledge Management Applications -- Named Entity Recognition and Resolution in Legal Text -- Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents -- Approaches to Text Mining Arguments from Legal Cases -- Legal Text Processing and Construction of Knowledge Resources -- Automatic Identification of Legal Terms in Czech Law Texts -- Integrating a Bottom–Up and Top–Down Methodology for Building Semantic Resources for the Multilingual Legal Domain -- Ontology Based Law Discovery -- Multilevel Legal Ontologies -- Legal Text Processing and Semantic Indexing, Summarization and Translation -- Semantic Indexing of Legal Documents -- Automated Classification of Norms in Sources of Law -- Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain -- An Automatic System for Summarization and Information Extraction of Legal Information -- Evaluation Metrics for Consistent Translation of Japanese Legal Sentences.

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The Institute of Mathematical Sciences, Chennai, India