TUdatalib : EUR-Lex Dataset

Zur Kurzanzeige

dc.contributor.author	Loza Mencia, Eneldo
dc.contributor.author	Fürnkranz, Johannes
dc.contributor.author	loza
dc.date.accessioned	2021-09-27T00:16:16Z
dc.date.available	2021-09-27T00:16:16Z
dc.date.issued	2010
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2937
dc.description	The EUR-Lex text collection is a collection of documents about European Union law. It contains many different types of documents, including treaties, legislation, case-law and legislative proposals, which are indexed according to several orthogonal categorization schemes to allow for multiple search facilities. The most important categorization is provided by the EUROVOC descriptors, which form a topic hierarchy with almost 4000 categories regarding different aspects of European law. This document collection provides an excellent opportunity to study text classification techniques for several reasons: - it contains multiple classifications of the same documents, making it possible to analyze the effects of different classification properties using the same underlying reference data without resorting to artificial or manipulated classifications, - the overwhelming number of produced documents make the legal domain a very attractive field for employing supportive automated solutions and therefore a machine learning scenario in step with actual practice, - the documents are available in several European languages and are hence very interesting e.g. for the wide field of multi- and cross-lingual text classification, - and, finally, the data is freely accessible (at http://eur-lex.europa.eu/) The database constitutes a very challenging multilabel scenario due to the high number of possible labels (up to 4000). A first step towards analyzing this database was done by applying multilabel classification techniques on three of its categorization schemes in the following work: Eneldo Loza Mencía and Johannes Fürnkranz. Efficient multilabel classification algorithms for large-scale problems in the legal domain. In Semantic Processing of Legal Texts, pages 192-215, Springer-Verlag, 2010 http://www.ke.tu-darmstadt.de/publications/papers/loza10eurlex.pdf	de_DE
dc.language.iso	en	de_DE
dc.relation	IsSupplementTo;DOI;10.1007/978-3-540-87481-2_4
dc.relation	IsSupplementTo;DOI;10.1007/978-3-642-12837-0_11
dc.rights.uri	https://rightsstatements.org/vocab/InC/1.0/
dc.subject	Multi-label classification	de_DE
dc.subject	EUR-Lex	de_DE
dc.subject	EUROVOC	de_DE
dc.subject.classification	4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren	de_DE
dc.subject.classification	4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
dc.subject.ddc	004
dc.title	EUR-Lex Dataset	de_DE
dc.type	Dataset	de_DE
dc.type	Text	de_DE
dc.description.version	Version 2010	de_DE
tud.unit	TUDa
tud.history.classification	Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung