Semantic Processing of Legal Texts Where the Language of Law Meets the Law of Language /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Francesconi, Enrico (Editor), Montemagni, Simonetta (Editor), Peters, Wim (Editor), Tiscornia, Daniela (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Lecture Notes in Computer Science, 6036
• Subjects: Computer science.; Mathematical logic.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).; Database Management.; Information Storage and Retrieval.; Data Mining and Knowledge Discovery.; Mathematical Logic and Formal Languages.

Table of 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.