A Document Descriptor Extractor Based on Relevant Expressions

José Gabriel Pereira Lopes; Joaquim Francisco Ferreira Silva

doi:10.1007/978-3-642-04686-5_53

A Document Descriptor Extractor Based on Relevant Expressions

José Gabriel Pereira Lopes, Joaquim Francisco Ferreira Silva

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

People are often asked to associate keywords to documents to enable applications to access the summarized core content of documents. This fact was the main motivation to work on an approach that may contribute to move from this manual procedure to an automatic one. Since Relevant Expressions (REs) or multi-word term expressions can be automatically extracted using the LocalMaxs algorithm, the most relevant ones can be used to describe the core content of each document. In this paper we present a language-independent approach for automatic generation of document descriptors. Results are shown for three different European languages and comparisons are made concerning different metrics for selecting the most informative REs of each document.

Original language	Unknown
Title of host publication	Lecture Notes in Computer Science
Publisher	Springer-Verlag
Pages	646-657
ISBN (Print)	978-3-642-04685-8
DOIs	https://doi.org/10.1007/978-3-642-04686-5_53
Publication status	Published - 1 Jan 2009
Event	EPIA 2009, Portuguese Conference on Artificial Inteligence - Duration: 1 Jan 2009 → …

Conference

Conference	EPIA 2009, Portuguese Conference on Artificial Inteligence
Period	1/01/09 → …

Access to Document

10.1007/978-3-642-04686-5_53

Cite this

Lopes, J. G. P., & Silva, J. F. F. (2009). A Document Descriptor Extractor Based on Relevant Expressions. In Lecture Notes in Computer Science (pp. 646-657). Springer-Verlag. https://doi.org/10.1007/978-3-642-04686-5_53

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