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On Learning Vector Representations in Hierarchical Label Spaces

Nam, Jinseok ; Fürnkranz, Johannes (2014)
On Learning Vector Representations in Hierarchical Label Spaces.
In: arXiv preprint arXiv:1412.6881
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

An important problem in multi-label classification is to capture label patterns or underlying structures that have an impact on such patterns. This paper addresses one such problem, namely how to exploit hierarchical structures over labels. We present a novel method to learn vector representations of a label space given a hierarchy of labels and label co-occurrence patterns. Our experimental results demonstrate qualitatively that the proposed method is able to learn regularities among labels by exploiting a label hierarchy as well as label co-occurrences. It highlights the importance of the hierarchical information in order to obtain regularities which facilitate analogical reasoning over a label space. We also experimentally illustrate the dependency of the learned representations on the label hierarchy.

Typ des Eintrags: Artikel
Erschienen: 2014
Autor(en): Nam, Jinseok ; Fürnkranz, Johannes
Art des Eintrags: Bibliographie
Titel: On Learning Vector Representations in Hierarchical Label Spaces
Sprache: Englisch
Publikationsjahr: 2014
Titel der Zeitschrift, Zeitung oder Schriftenreihe: arXiv preprint arXiv:1412.6881
URL / URN: http://arxiv.org/pdf/1412.6881v2.pdf
Kurzbeschreibung (Abstract):

An important problem in multi-label classification is to capture label patterns or underlying structures that have an impact on such patterns. This paper addresses one such problem, namely how to exploit hierarchical structures over labels. We present a novel method to learn vector representations of a label space given a hierarchy of labels and label co-occurrence patterns. Our experimental results demonstrate qualitatively that the proposed method is able to learn regularities among labels by exploiting a label hierarchy as well as label co-occurrences. It highlights the importance of the hierarchical information in order to obtain regularities which facilitate analogical reasoning over a label space. We also experimentally illustrate the dependency of the learned representations on the label hierarchy.

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Knowledge Engineering
Hinterlegungsdatum: 23 Nov 2015 14:32
Letzte Änderung: 23 Nov 2015 14:32
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