Quotation Filtz, Erwin, Kirrane, Sabrina, Polleres, Axel, Wohlgenannt, Gerhard. 2019. Exploiting EuroVoc’s Hierarchical Structure for Classifying Legal Documents. In On the Move to Meaningful Internet Systems: OTM 2019 Conferences, Hrsg. Hervé Panetto, Christophe Debruyne, Martin Hepp, Dave Lewis, Claudio Agostino Ardagna, Robert Meersman, 164-181. Greece: Lecture Notes in Computer Science.


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Abstract

Multi-label document classification is a challenging problem because of the potentially huge number of classes. Furthermore, real-world datasets often exhibit a strongly varying number of labels per document, and a power-law distribution of those class labels. Multi-label classification of legal documents is additionally complicated by long document texts and domain-specific use of language. In this paper we use different approaches to compare the performance of text classification algorithms on existing datasets and corpora of legal documents, and contrast the results of our experiments with results on general-purpose multi-label text classification datasets. Moreover, for the EUR-Lex legal datasets, we show that exploiting the hierarchy of the EuroVoc thesaurus helps to improve classification performance by reducing the number of potential classes while retaining the informative value of the classification itself.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Exploiting EuroVoc’s Hierarchical Structure for Classifying Legal Documents
Title of whole publication On the Move to Meaningful Internet Systems: OTM 2019 Conferences
Editor Hervé Panetto, Christophe Debruyne, Martin Hepp, Dave Lewis, Claudio Agostino Ardagna, Robert Meersman
Page from 164
Page to 181
Location Greece
Publisher Lecture Notes in Computer Science
Year 2019
ISBN 978-3-030-33246-4
URL https://www.springer.com/gp/book/9783030332457
Open Access N

Associations

People
Filtz, Erwin (Details)
Kirrane, Sabrina (Details)
Polleres, Axel (Details)
External
Wohlgenannt, Gerhard (ITMO University, Russian Federation)
Organization
Applied Information Technology (Details)
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