Szántó, Zsolt and Sliz-Nagy, Alex and Nagy T., István and Csuma-Kovács, Ádám and Vincze, Veronika and Farkas, Richárd (2018) Relevance Segmentation of Long Documents. In: XIV. Magyar Számítógépes Nyelvészeti Konferencia.
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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 (Paper) |
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| Subjects: | T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában |
| Depositing User: | Dr Richárd Farkas |
| Date Deposited: | 30 Sep 2018 17:49 |
| Last Modified: | 30 Sep 2018 17:49 |
| URI: | http://real.mtak.hu/id/eprint/86146 |
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