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.