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Francesconi, Enrico.
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. - XII, 249p. 42 illus. online resource. - Lecture Notes in Computer Science, 6036 0302-9743 ; .
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.
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.
9783642128370
Computer science.
Database management.
Data mining.
Information storage and retrieval systems.
Information systems.
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.
Q334-342 TJ210.2-211.495
006.3
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. - XII, 249p. 42 illus. online resource. - Lecture Notes in Computer Science, 6036 0302-9743 ; .
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.
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.
9783642128370
Computer science.
Database management.
Data mining.
Information storage and retrieval systems.
Information systems.
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.
Q334-342 TJ210.2-211.495
006.3