Informace o publikaci

To text summarization by dynamic graph mining

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GALLO Matej POPELÍNSKÝ Lubomír VACULÍK Karel

Rok publikování 2018
Druh Článek ve sborníku
Konference ITAT 2018 Proceedings,
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Klíčová slova text summarization; dynamic graph mining
Popis We show that frequent patterns can contribute to the quality of text summarization. Here we focus on single-document extractive summarization in English. Performance of the frequent patterns based model obtained with DGRMiner yields the most relevant sentences of all compared methods. Two out of three proposed methods outperform other methods if compared on ROUGE data.
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