Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language (Lecture Notes in Computer Science, 6036)
معرفی کتاب «Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language (Lecture Notes in Computer Science, 6036)» نوشتهٔ Giulia Venturi (auth.), Enrico Francesconi, Simonetta Montemagni, Wim Peters, Daniela Tiscornia (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
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. Legal Language And Legal Knowledge Management Applications / Giulia Venturi -- Named Entity Recognition And Resolution In Legal Text / Christopher Dozier, Ravikumar Kondadadi, Marc Light, Arun Vachher, Sriharsha Veeramachaneni, And Ramdev Wudali -- Using Linguistic Information And Machine Learning Techniques To Identify Entities From Juridical Documents / Paulo Quaresma And Teresa Gonçalves -- Approaches To Text Mining Arguments From Legal Cases / Adam Wyner, Raquel Mochales-palau, Marie-francine Moens, And David Milward -- Automatic Identification Of Legal Terms In Czech Law Texts / Karel Pala, Pavel Rychlý, And Pavel Šmerk -- Integrating A Bottom-up And Top-down Methodology For Building Semantic Resources For The Multilingual Legal Domain / Enrico Francesconi, Simonetta Montemagni, Wim Peters, And Daniela Tiscornia -- Ontology Based Law Discovery / Alessio Bosca And Luca Dini -- Multilevel Legal Ontologies / Gianmaria Ajani, Guido Boella, Leonardo Lesmo, Marco Martin, Alessandro Mazzei, Daniele P. Radicioni, And Piercarlo Rossi -- Semantic Indexing Of Legal Documents / Erich Schweighofer -- Automated Classification Of Norms In Sources Of Law / Emile De Maat And Radboud Winkels -- Efficient Multilabel Classification Algorithms For Large-scale Problems In The Legal Domain / Eneldo Loza Mencía And Johannes Fürnkranz -- An Automatic System For Summarization And Information Extraction Of Legal Information / Emmanuel Chieze, Atefeh Farzindar, And Guy Lapalme -- Evaluation Metrics For Consistent Translation Of Japanese Legal Sentences / Yasuhiro Ogawa, Kazuhiro Imai, And Katsuhiko Toyama. Enrico Francesconi ... [et Al.] (eds.). A Workshop On 'semantic Processing Of Legal Texts' ... Held In Marrakech (morocco) In 2008, In The Framework Of The 6th International Conference On Language Resources And Evaluation (lrec-2008)--pref. Includes Bibliographical References. Front Matter....Pages - Front Matter....Pages 1-1 Legal Language and Legal Knowledge Management Applications....Pages 3-26 Named Entity Recognition and Resolution in Legal Text....Pages 27-43 Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents....Pages 44-59 Approaches to Text Mining Arguments from Legal Cases....Pages 60-79 Front Matter....Pages 81-81 Automatic Identification of Legal Terms in Czech Law Texts....Pages 83-94 Integrating a Bottom–Up and Top–Down Methodology for Building Semantic Resources for the Multilingual Legal Domain....Pages 95-121 Ontology Based Law Discovery....Pages 122-135 Multilevel Legal Ontologies....Pages 136-154 Front Matter....Pages 155-155 Semantic Indexing of Legal Documents....Pages 157-169 Automated Classification of Norms in Sources of Law....Pages 170-191 Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain....Pages 192-215 An Automatic System for Summarization and Information Extraction of Legal Information....Pages 216-234 Evaluation Metrics for Consistent Translation of Japanese Legal Sentences....Pages 235-248 Back Matter....Pages - Recent Years Have Seen Much New Research On The Interface Between Artificial Intelligence And Law, Looking At Issues Such As Automated Legal Reasoning. This Collection Of Papers Represents The State Of The Art In This Fascinating And Highly Topical Field.
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