Turkish keyphrase extraction using multi-criterion ranking

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Turkish keyphrase extraction using multi-criterion ranking.pdf (557.5 KB)

Date

2009-09

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Source Title

24th International Symposium on Computer and Information Sciences, ISCIS 2009

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Publisher

IEEE

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Pages

269 - 273

Language

English

Type

Conference Paper

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Abstract

Keyphrases have been extensively used for indexing and searching in databases and information retrieval systems. In addition, they provide useful information about semantic content of a document. In this paper, we propose an algorithm for automating Turkish keyphrase extraction. Several features of candidate phrases are exploited and form the extraction task as a problem of finding optimal set of candidate phrases. We use multi-criterion ranking to tackle this problem. © 2009 IEEE.

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Keywords

Keyphrase extraction , Multi-criterion ranking , Optimal sets , Semantic content , Turkishs , Information retrieval , Information retrieval systems , Information services , Feature extraction

Citation

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http://hdl.handle.net/11693/28670

item.page.isversionof

http://dx.doi.org/10.1109/ISCIS.2009.5291825

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Department of Computer Engineering