Show simple item record

dc.contributor.authorOzsoy, M.G.en_US
dc.contributor.authorÇiçekli, İlyasen_US
dc.contributor.authorAlpaslan F.N.en_US
dc.coverage.spatialBeijing, Chinaen_US
dc.date.accessioned2016-02-08T12:20:35Z
dc.date.available2016-02-08T12:20:35Z
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/11693/28435
dc.descriptionDate of Conference: August 23 - 27, 2010en_US
dc.description.abstractText summarization solves the problem of extracting important information from huge amount of text data. There are various methods in the literature that aim to find out well-formed summaries. One of the most commonly used methods is the Latent Semantic Analysis (LSA). In this paper, different LSA based summarization algorithms are explained and two new LSA based summarization algorithms are proposed. The algorithms are evaluated on Turkish documents, and their performances are compared using their ROUGE-L scores. One of our algorithms produces the best scores.en_US
dc.language.isoEnglishen_US
dc.source.titleCOLING '10 Proceedings of the 23rd International Conference on Computational Linguisticsen_US
dc.subjectLatent Semantic Analysisen_US
dc.subjectText dataen_US
dc.subjectText summarizationen_US
dc.subjectTurkish textsen_US
dc.subjectTurkishsen_US
dc.subjectComputational linguisticsen_US
dc.subjectSemanticsen_US
dc.subjectAlgorithmsen_US
dc.titleText summarization of turkish texts using latent semantic analysisen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage869en_US
dc.citation.epage876en_US
dc.citation.volumeNumber2en_US
dc.publisherACMen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record