Turkish keyphrase extraction using multi-criterion ranking

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

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2009-09

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

Publisher

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

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

Published Version (Please cite this version)

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

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Scholarly Publications - Computer Engineering

Language

English

Type

Conference Paper