Extractive Text Summarization via Graph Entropy Çizge Entropi ile Çikarici Metin Özetleme

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dc.authorscopusid57200139869
dc.authorscopusid57200138639
dc.authorscopusid57207461582
dc.authorscopusid6602929072
dc.contributor.authorHark C.
dc.contributor.authorUckan T.
dc.contributor.authorSeyyarer E.
dc.contributor.authorKarci A.
dc.date.accessioned2024-08-04T20:03:57Z
dc.date.available2024-08-04T20:03:57Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 -- 21 September 2019 through 22 September 2019 -- 153040en_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. © 2019 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2019.8875936
dc.identifier.isbn9781728129327
dc.identifier.scopus2-s2.0-85074879241en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IDAP.2019.8875936
dc.identifier.urihttps://hdl.handle.net/11616/92236
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEntropyen_US
dc.subjectGraph Entropyen_US
dc.subjectGraph Theoryen_US
dc.subjectText Summarizationen_US
dc.titleExtractive Text Summarization via Graph Entropy Çizge Entropi ile Çikarici Metin Özetlemeen_US
dc.typeConference Objecten_US

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