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Recently the focus of query independent summary is shifted to query specific document. This book presents a graph based method to find query specific multi-document summarization. Our system is divided into two stages, of- fline and online. We construct document as graph by con- sidering paragraph as nodes in offline stage. Edge scores are represented node similarities. In online stage, query specific weight are calculated and assigned to node. We then perform keyword search on the document graph and search a minimum top spanning tree for finding relevant nodes that satisfy the keyword search. Resultant summary looks coherent due to simultaneous cluster and sentence ranking. Experimental results for multi-document scenarios are encouraging.
| Autorius: | Sandip Ramkrishna Pandit |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2014 |
| Knygos puslapių skaičius: | 76 |
| ISBN-10: | 3659636606 |
| ISBN-13: | 9783659636608 |
| Formatas: | 220 x 150 x 5 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Graph Based Query Specific Multi-document Text Summarization: Simultaneous Cluster and Sentence Ranking“
