A Knowledge-Base Oriented Approach for Automatic Keyword Extraction

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Autor principal: Ludovic Jean-Louis
Formato: Artículo científico
Lenguaje:en
Publicado: Instituto Politécnico Nacional 2013
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author Ludovic Jean-Louis
author_facet Ludovic Jean-Louis
contents A Knowledge-Base Oriented Approach for Automatic Keyword Extraction Ludovic Jean-Louis Michel Gagnon Eric Charton Computación encyclopedic knowledge Automatic keyword extraction Automatic keyword extraction is an important subfield of information extraction process. It is a difficult task, where numerous different techniques and resources have been proposed. In this paper, we propose a generic approach to extract keyword from documents using encyclopedic knowledge. Our two-step approach first relies on a classification step for identifying candidate keywords followed by a learning-to-rank method depending on a user-defined keyword profile to order the candidates. The novelty of our approach relies on i) the usage of the keyword profile ii) generic features derived from Wikipedia categories and not necessarily related to the document content. We evaluate our system on keyword datasets and corpora from standard evaluation campaign and show that our system improves the global process of keyword extraction. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17
format Artículo científico
id redalyc_61527437009
institution Redalyc
language en
publishDate 2013
publisher Instituto Politécnico Nacional
spellingShingle A Knowledge-Base Oriented Approach for Automatic Keyword Extraction
Ludovic Jean-Louis
Computación
encyclopedic knowledge
Automatic keyword extraction
A Knowledge-Base Oriented Approach for Automatic Keyword Extraction Ludovic Jean-Louis Michel Gagnon Eric Charton Computación encyclopedic knowledge Automatic keyword extraction Automatic keyword extraction is an important subfield of information extraction process. It is a difficult task, where numerous different techniques and resources have been proposed. In this paper, we propose a generic approach to extract keyword from documents using encyclopedic knowledge. Our two-step approach first relies on a classification step for identifying candidate keywords followed by a learning-to-rank method depending on a user-defined keyword profile to order the candidates. The novelty of our approach relies on i) the usage of the keyword profile ii) generic features derived from Wikipedia categories and not necessarily related to the document content. We evaluate our system on keyword datasets and corpora from standard evaluation campaign and show that our system improves the global process of keyword extraction. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17
title A Knowledge-Base Oriented Approach for Automatic Keyword Extraction
topic Computación
encyclopedic knowledge
Automatic keyword extraction
url https://www.redalyc.org/articulo.oa?id=61527437009