In this our second participation in the CLEF Spanish monolingual track, we have continued applying Natural Language Processing techniques for single word and multi-word term conflation. Two different conflation approaches have been tested. The first approach is based on the lemmatization of the text in order to avoid inflectional variation. Our second approach consists of the employment of syntactic dependencies as complex index terms, in an attempt to solve the problems derived from syntactic variation and, in this way, to obtain more precise terms. Such dependencies are obtained through a shallow parser based on cascades of finite-state transducers. © Springer-Verlag 2004.
CITATION STYLE
Vilares, J., Alonso, M. A., & Ribadas, F. J. (2004). COLE experiments at CLEF 2003 in the Spanish monolingual track. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3237, 345–357. https://doi.org/10.1007/978-3-540-30222-3_33
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