Extractive Text Summarization via Graph Entropy
| dc.contributor.author | Hark, Cengiz | |
| dc.contributor.author | Uckan, Taner | |
| dc.contributor.author | Seyyarer, Ebubekir | |
| dc.contributor.author | Karci, Ali | |
| dc.date.accessioned | 2021-12-16T09:07:01Z | |
| dc.date.available | 2021-12-16T09:07:01Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10138 | |
| 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 | |
| dc.language.iso | Turkish | |
| dc.publisher | Ieee | |
| dc.relation.ispartof | International Conference on Artificial Intelligence and Data Processing (IDAP) | |
| dc.source | 2019 Internatıonal Conference On Artıfıcıal Intellıgence And Data Processıng (Idap 2019) | |
| dc.title | Extractive Text Summarization via Graph Entropy | |
| dc.type | Proceedings Paper | |
| dc.identifier.wos | WOS:000591781100064 |
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