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003 DE-He213
005 20140220084536.0
007 cr nn 008mamaa
008 100509s2010 gw | s |||| 0|eng d
020 _a9783642128370
_9978-3-642-12837-0
024 7 _a10.1007/978-3-642-12837-0
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aFrancesconi, Enrico.
_eeditor.
245 1 0 _aSemantic Processing of Legal Texts
_h[electronic resource] :
_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, 249p. 42 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6036
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.
650 0 _aComputer science.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aInformation storage and retrieval systems.
650 0 _aInformation systems.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Systems Applications (incl.Internet).
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aMathematical Logic and Formal Languages.
700 1 _aMontemagni, Simonetta.
_eeditor.
700 1 _aPeters, Wim.
_eeditor.
700 1 _aTiscornia, Daniela.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642128363
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6036
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-12837-0
912 _aZDB-2-SCS
912 _aZDB-2-LNC
999 _c112148
_d112148