Hierarchical Text Classification and Its Foundations: A Review of Current Research
Alessandro Zangari,
Matteo Marcuzzo,
Matteo Rizzo
et al.
Abstract:While collections of documents are often annotated with hierarchically structured concepts, the benefits of these structures are rarely taken into account by classification techniques. Within this context, hierarchical text classification methods are devised to take advantage of the labels’ organization to boost classification performance. In this work, we aim to deliver an updated overview of the current research in this domain. We begin by defining the task and framing it within the broader text classificati… Show more
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