Relevance segmentation of long documents

Szántó, Zsolt and Sliz-Nagy, Alex and Nagy, T. István and Csuma-Kovács, Ádám and Vincze, Veronika and Farkas, Richárd: Relevance segmentation of long documents. Magyar Számítógépes Nyelvészeti Konferencia, (12). pp. 405-412. (2018)

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Abstract

In this paper, we present our methods to identify the most salient topics for a selected domain based on topic modeling. We propose a topic relevance score and segmentation procedure which can split the document into parts referring to various topics. We also offer a solution for visualizing textual spans that are related to a given topic. In this way, it can be easily determined which are the most relevant and most irrelevant segments of a long document (like blog posts or news articles).

Item Type: Article
Event Title: Magyar Számítógépes Nyelvészeti Konferencia (14.) (2018) (Szeged)
Journal or Publication Title: Magyar Számítógépes Nyelvészeti Konferencia
Date: 2018
Volume: 12
Page Range: pp. 405-412
ISBN: 978-963-306-578-5
Uncontrolled Keywords: Nyelvészet - számítógép alkalmazása
Additional Information: Bibliogr.: 412. p. ; összefoglalás angol nyelven
Date Deposited: 2019. Jul. 03. 09:56
Last Modified: 2019. Jul. 03. 09:56
URI: http://acta.bibl.u-szeged.hu/id/eprint/59063

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