Extractive Text Summarization via Graph Entropy
dc.authorid | Karci, Ali/0000-0002-8489-8617 | |
dc.authorwosid | Karci, Ali/AAG-5337-2019 | |
dc.contributor.author | Hark, Cengiz | |
dc.contributor.author | Uckan, Taner | |
dc.contributor.author | Seyyarer, Ebubekir | |
dc.contributor.author | Karci, Ali | |
dc.date.accessioned | 2024-08-04T20:58:49Z | |
dc.date.available | 2024-08-04T20:58:49Z | |
dc.date.issued | 2019 | |
dc.department | İnönü Üniversitesi | en_US |
dc.description | International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEY | en_US |
dc.description.abstract | There 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.sponsorship | IEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesi | en_US |
dc.identifier.uri | https://hdl.handle.net/11616/103193 | |
dc.identifier.wos | WOS:000591781100064 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.language.iso | tr | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Text Summarization | en_US |
dc.subject | Entropy | en_US |
dc.subject | Graph Theory | en_US |
dc.subject | Graph Entropy | en_US |
dc.title | Extractive Text Summarization via Graph Entropy | en_US |
dc.type | Conference Object | en_US |