Extractive Text Summarization via Graph Entropy

dc.authoridKarci, Ali/0000-0002-8489-8617
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.contributor.authorHark, Cengiz
dc.contributor.authorUckan, Taner
dc.contributor.authorSeyyarer, Ebubekir
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:58:49Z
dc.date.available2024-08-04T20:58:49Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractThere is growing interest in automatic summarizing systems. This study focuses on a subtractive, general and unsupervised summarization system. It is provided to represent the texts to be summarized with graphs and then graph entropy is used to interpret the structural stability and structural information content on the graphs representing the text files. The performance of the proposed text summarizing approach for the purpose of summarizing the text on the data set of Document Understanding Conference (DUC-2002) including open access texts and summaries of these texts was calculated using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metrics. Experimental processes were repeated for 200 and 400 word abstracts. Experimental results reveale that the proposed text summarizing system performs competitively with competitive methods for different ROUGE metrics.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesien_US
dc.identifier.urihttps://hdl.handle.net/11616/103193
dc.identifier.wosWOS:000591781100064en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectText Summarizationen_US
dc.subjectEntropyen_US
dc.subjectGraph Theoryen_US
dc.subjectGraph Entropyen_US
dc.titleExtractive Text Summarization via Graph Entropyen_US
dc.typeConference Objecten_US

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