Abstract
In this paper, we present a noun phrase indexing and mining methodology for French Information Retrieval. Our assumption is that noun phrases constitute a better representation of text semantic content than single terms and can improve the effectiveness of an information retrieval system in particular when combined with a text mining process discovering associative relations with the aim of query expansion. Our experiments were conducted using two French test corpora and we compared different noun phrase indexing and mining strategies. We show that combining noun phrase indexing with associative relations can improve the information retrieval system performances, specially at low recall.
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Haddad, H. (2003). French Noun Phrase Indexing and Mining for an Information Retrieval System. In: Nascimento, M.A., de Moura, E.S., Oliveira, A.L. (eds) String Processing and Information Retrieval. SPIRE 2003. Lecture Notes in Computer Science, vol 2857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39984-1_21
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DOI: https://doi.org/10.1007/978-3-540-39984-1_21
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