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.
Author(s): Giulia Venturi (auth.), Enrico Francesconi, Simonetta Montemagni, Wim Peters, Daniela Tiscornia (eds.)
Series: Lecture Notes in Computer Science 6036 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 249
Tags: 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
Front Matter....Pages -
Front Matter....Pages 1-1
Legal Language and Legal Knowledge Management Applications....Pages 3-26
Named Entity Recognition and Resolution in Legal Text....Pages 27-43
Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents....Pages 44-59
Approaches to Text Mining Arguments from Legal Cases....Pages 60-79
Front Matter....Pages 81-81
Automatic Identification of Legal Terms in Czech Law Texts....Pages 83-94
Integrating a Bottom–Up and Top–Down Methodology for Building Semantic Resources for the Multilingual Legal Domain....Pages 95-121
Ontology Based Law Discovery....Pages 122-135
Multilevel Legal Ontologies....Pages 136-154
Front Matter....Pages 155-155
Semantic Indexing of Legal Documents....Pages 157-169
Automated Classification of Norms in Sources of Law....Pages 170-191
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain....Pages 192-215
An Automatic System for Summarization and Information Extraction of Legal Information....Pages 216-234
Evaluation Metrics for Consistent Translation of Japanese Legal Sentences....Pages 235-248
Back Matter....Pages -
