Query-Based Summarization: A survey

dc.contributor.author	Damova, Mariana	en_US
dc.contributor.author	Koychev, Ivan	en_US
dc.date.accessioned	2011-10-24T20:24:30Z
dc.date.available	2011-10-24T20:24:30Z
dc.date.issued	2010	bg
dc.identifier.citation	Damova, Mariana, Koychev, Ivan (2010), Query-Based Summarization: A survey, Proceedings of International Conference on SOFTWARE, SERVICES & SEMANTIC TECHNOLOGIES, September 11-12, 2010, Varna, Bulgaria, ISBN 978-954-9526-71-4, p. 142	en_US
dc.identifier.isbn	978-954-9526-71-4	bg
dc.identifier.uri	http://hdl.handle.net/10506/637
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.	en_US
dc.format	application/pdf	bg
dc.language.iso	eng	bg
dc.publisher	Demetra EOOD	en_US
dc.relation	info:eu-repo/grantAgreement/EC/FP7/205030	bg
dc.rights	info:eu-repo/semantics/openAccess	bg
dc.subject	Query-Based Summarization	en_US
dc.title	Query-Based Summarization: A survey	en_US
dc.type	info:eu-repo/semantics/conferencePaper	bg
dc.relation.citedbygoogle	1	bg