000 04054nam a22004095i 4500
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007 cr nn 008mamaa
008 150903s2010 gw | o |||| 0|eng d
020 _a9783642128370
_99783642128370
024 7 _a10.1007/9783642128370
_2doi
035 _avtls000355001
039 9 _a201509030949
_bVLOAD
_c201405060343
_dVLOAD
_y201402191032
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ334-342
100 1 _aFrancesconi, Enrico.
_eeditor.
_9338499
245 1 0 _aSemantic Processing of Legal Texts :
_bWhere the Language of Law Meets the Law of Language /
_cedited by Enrico Francesconi, Simonetta Montemagni, Wim Peters, Daniela Tiscornia.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _axii, 249 páginas 42 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6036
500 _aSpringer eBooks
505 0 _aLegal 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.
520 _aThe 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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aMontemagni, Simonetta.
_eeditor.
_9340069
700 1 _aPeters, Wim.
_eeditor.
_9340070
700 1 _aTiscornia, Daniela.
_eeditor.
_9340071
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642128363
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-12837-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c301984
_d301984