Extraction of document descriptive terms with a linguistic-based machine learning approach

Javier Fernández; Elena Montanés; Irene Díaz; José Ranilla; Elías F. Combarro

Journal ArticleOPEN ACCESS

Extraction of document descriptive terms with a linguistic-based machine learning approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3037 658-661

DOI: 10.1007/978-3-540-24687-9_96

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Abstract

In this paper we present a method for extracting relevant words from a document taking into account linguistic information. Form a set of words manually labelled as relevant or not and with the aid of a Machine Learning algorithm, we build a classifier which is able to decide which words from a unseen document must be regarded as relevant. This system is compared with some classical methods (based just on statistical information). © Springer-Verlag Berlin Heidelberg 2004.

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Fernández, J., Montanés, E., Díaz, I., Ranilla, J., & Combarro, E. F. (2004). Extraction of document descriptive terms with a linguistic-based machine learning approach. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3037, 658–661. https://doi.org/10.1007/978-3-540-24687-9_96

Extraction of document descriptive terms with a linguistic-based machine learning approach

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