Query-Based Summarization: A survey

dc.contributor.author	Damova, Mariana
dc.contributor.author	Koychev, Ivan
dc.coverage.spatial	international	bg
dc.date.accessioned	2010-09-24T12:53:58Z
dc.date.available	2010-09-24T12:53:58Z
dc.date.issued	2010-09-11
dc.identifier.citation	Damova, M., Koychev, I., Query-Based Summarization: A survey, Second International Conference S3T, September 11-12, 2010, Varna, Bulgaria , 2010, ISBN 978-954-9526-71-4	bg
dc.identifier.isbn	978-954-9526-71-4
dc.identifier.uri	http://hdl.handle.net/10506/402
dc.description.abstract	This paper presents a survey of recent extractive query-based summarization techniques. We explore approaches for single document and multi-document summarization. Knowledge-based and machine learning methods for choosing the most relevant sentences from documents with respect to a given query are considered. Further, we expose tailored summarization techniques for particular domains like medical texts. The most recent developments in the field are presented with opinion summarization of blog entries.	bg
dc.description.sponsorship	This research is supported by the SmartBook project, subsidized by the Bulgarian National Science Fund, under Grant D002-111 /15.12.2008.	bg
dc.language.iso	en	bg
dc.publisher	Sofia University	bg
dc.subject	survey	bg
dc.subject	Query-Based Summarization	bg
dc.subject	Query-Based	bg
dc.title	Query-Based Summarization: A survey	bg
dc.type	conference paper	bg
dc.relation.citedbygoogle	1	bg
dc.source.peerreview	yes	bg
dc.source.impactfactor	no	bg