id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_e5xlnx3wejcfhbmov2bysmprpa	Elena Baralis	Multi-document summarization based on the Yago ontology	2013	33	.pdf	application/pdf	7399	783	59	Multi-document summarization based on the Yago ontology / Baralis E.; Cagliero L.; Fiori A.; Jabeen S.; Shah S.. Multi-document summarization based on the Yago ontology Sentence-based multi-document summarization is the task of generating a sentences and generate sound document summaries, an established entity In contrast, we aim at tightly integrating the ontology-based document analysis into the summarization process in order to take the semantic meaning Most of the recently proposed (constraint-less) sentence-based summarizers exploit one of the following general-purpose techniques: (i) clustering, (ii) exploits the Yago ontological knowledge base [41] to generate accurate document summaries. To generate a summary of the document collection an iterative procedure is applied to select the top-ranked sentences Yago-based Summarizer selects, at each iteration, the top-ranked sentence Hence, the summaries that were generated by Yago-based Summarizer are, on average, the most accurate and the summaries that were generated by Yago-based Summarizer and the other	./cache/work_e5xlnx3wejcfhbmov2bysmprpa.pdf	./txt/work_e5xlnx3wejcfhbmov2bysmprpa.txt