Zobrazeno 1 - 10 of 28 pro vyhledávání: '"de Maat, E."'
1
Automated classification of norms in sources of law
Autor: de Maat, E., Winkels, R., Francesconi, E., Montemagni, S., Peters, W., Tiscornia, D.
Publikováno v: Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language, 170-191
STARTPAGE=170;ENDPAGE=191;TITLE=Semantic Processing of Legal Texts
Semantic Processing of Legal Texts ISBN: 9783642128363
Semantic Processing of Legal Texts
The research described here attempts to achieve automated support for modelling sources of law for legal knowledge based systems and services. Many existing systems use models that do not reflect the entire law, and simplify parts of the text. These
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db8b733e80bc2757e0e1a91520990e1e
https://doi.org/10.1007/978-3-642-12837-0_10
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2
General XML format(s) for legal Sources
Autor: Lupo C., Francesconi E., Winkels R., de Maat E., Boer A., Mascellani P., VITALI, FABIO, PALMIRANI, MONICA
This deliverable is included within the activities of Workpackage 3 (WP3) which deals with the definition of effective and explicit links between legal knowledge and original legal sources the knowledge is based on. This is one of the main pre-condit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4094::d75446a4d72f44963a610d854678f9b1
http://hdl.handle.net/11585/75301
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3
Making sense of legal texts
Autor: de Maat, E.
Er wordt met succes gewerkt aan allerlei computersystemen om wet- en regelgeving makkelijker toegankelijk te maken. Portals en zoekmachines maken het makkelijker om relevante stukken tekst te vinden; expertsystemen helpen met het toepassen van de reg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::0f3edb5fbbbc6dbfcce4eb1f5029d564
https://dare.uva.nl/personal/pure/en/publications/making-sense-of-legal-texts(6f91148c-9e6b-4e5c-9576-fba025ee1570).html
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5
Machine learning versus knowledge based classification of legal texts
Autor: de Maat, E., Krabben, K., Winkels, R., Winkels, R.G.F.
Publikováno v: Legal knowledge and information systems: JURIX 2010, the twenty-third annual conference, 87-96
STARTPAGE=87;ENDPAGE=96;TITLE=Legal knowledge and information systems: JURIX 2010, the twenty-third annual conference
This paper presents results of an experiment in which we used machine learning (ML) techniques to classify sentences in Dutch legislation. These results are compared to the results of a pattern-based classifier. Overall, the ML classifier performs as
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::54febf44f44e2af76b51f57090f2fa5f
https://dare.uva.nl/personal/pure/en/publications/machine-learning-versus-knowledge-based-classification-of-legal-texts(9b9cf85d-e35e-4d6b-a507-e279b618710d).html
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8
Automated handling of amending documents and resulting consolidations
Autor: de Maat, E., van de Ven, S., Winkels, R., van Engers, T.
Publikováno v: Frontiers in Artificial Intelligence and Applications, 205, 116-125. IOS Press
This paper describes extensions to our native XML legislative editor MetaVex, dealing with specific requests of legislative drafters: The automatic generation of amending documents based on the editing of an existing law or proposal, and the automati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::1d4aeaa12642faa2c4a4f419bf69b6f4
https://dare.uva.nl/personal/pure/en/publications/automated-handling-of-amending-documents-and-resulting-consolidations(f1ab11c9-a957-456a-af91-3e5b1d7eaae3).html
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10
MetaVex: regulation drafting meets the semantic web
Autor: van de Ven, S., Hoekstra, R., Winkels, R., de Maat, E., Kollár, Á., Casanovas, P., Sartor, G., Casellas, N., Robino, R.
Publikováno v: Computable Models of the Law: Languages, Dialogues, Games, Ontologies, 42-55
STARTPAGE=42;ENDPAGE=55;TITLE=Computable Models of the Law
Lecture Notes in Computer Science ISBN: 9783540855682
Computable Models of the Law, Languages, Dialogues, Games, Ontologies
Currently almost all legislative bodies throughout Europe use general purpose word-processing software for the drafting of legal documents. These regular word processors do not provide specific support for legislative drafters and parliamentarians to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8255b63a2cd5240f1e1c5d1b9c2cb4a
https://dare.uva.nl/personal/pure/en/publications/metavex-regulation-drafting-meets-the-semantic-web(f9aaf046-7071-4a5f-8b63-1e558df6666c).html
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