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.
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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: | Conference or Workshop Item |
|---|---|
| Journal or Publication Title: | Magyar Számítógépes Nyelvészeti Konferencia |
| Date: | 2018 |
| Volume: | 14 |
| ISBN: | 978-963-306-578-5 |
| Page Range: | pp. 405-412 |
| Event Title: | Magyar Számítógépes Nyelvészeti Konferencia (14.) (2018) (Szeged) |
| Related URLs: | http://acta.bibl.u-szeged.hu/58555/ |
| Uncontrolled Keywords: | Nyelvészet - számítógép alkalmazása |
| Additional Information: | Bibliogr.: 412. p. ; összefoglalás angol nyelven |
| Date Deposited: | 2019. Jul. 03. 09:56 |
| Last Modified: | 2022. Nov. 08. 11:49 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/59063 |
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