Cargando…

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

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Francesconi, Enrico (Editor ), Montemagni, Simonetta (Editor ), Peters, Wim (Editor ), Tiscornia, Daniela (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Lecture Notes in Artificial Intelligence, 6036
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-642-12837-0
003 DE-He213
005 20221012205939.0
007 cr nn 008mamaa
008 100509s2010 gw | s |||| 0|eng d
020 |a 9783642128370  |9 978-3-642-12837-0 
024 7 |a 10.1007/978-3-642-12837-0  |2 doi 
050 4 |a Q334-342 
050 4 |a TA347.A78 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Semantic Processing of Legal Texts  |h [electronic resource] :  |b Where the Language of Law Meets the Law of Language /  |c edited by Enrico Francesconi, Simonetta Montemagni, Wim Peters, Daniela Tiscornia. 
250 |a 1st ed. 2010. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2010. 
300 |a XII, 252 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 6036 
505 0 |a 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. 
650 0 |a Artificial intelligence. 
650 0 |a Application software. 
650 0 |a Database management. 
650 0 |a Information storage and retrieval systems. 
650 0 |a Data mining. 
650 0 |a Machine theory. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Computer and Information Systems Applications. 
650 2 4 |a Database Management. 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Formal Languages and Automata Theory. 
700 1 |a Francesconi, Enrico.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Montemagni, Simonetta.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Peters, Wim.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Tiscornia, Daniela.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642128363 
776 0 8 |i Printed edition:  |z 9783642128387 
830 0 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 6036 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-642-12837-0  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
912 |a ZDB-2-LNC 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)