Semantic Processing of Legal Texts Where the Language of Law Meets the Law of Language /
Semantic Processing of Legal Texts Where the Language of Law Meets the Law of Language / [electronic resource] :
edited by Enrico Francesconi, Simonetta Montemagni, Wim Peters, Daniela Tiscornia.
- 1st ed. 2010.
- XII, 252 p. online resource.
- Lecture Notes in Artificial Intelligence, 6036 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 6036 .
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.
9783642128370
10.1007/978-3-642-12837-0 doi
Artificial intelligence.
Application software.
Database management.
Information storage and retrieval systems.
Data mining.
Machine theory.
Artificial Intelligence.
Computer and Information Systems Applications.
Database Management.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Formal Languages and Automata Theory.
Q334-342 TA347.A78
006.3
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.
9783642128370
10.1007/978-3-642-12837-0 doi
Artificial intelligence.
Application software.
Database management.
Information storage and retrieval systems.
Data mining.
Machine theory.
Artificial Intelligence.
Computer and Information Systems Applications.
Database Management.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Formal Languages and Automata Theory.
Q334-342 TA347.A78
006.3