Abstract
This paper describes our participation to the English Girt Task of CLEF 2005 Campaign. A method for conceptual indexing based on WordNet is used. Both documents and queries are mapped onto WordNet. Identified concepts belonging to WordNet synsets are extracted from documents and queries and those having a single sense are expanded. All runs are carried out using a conceptual indexing approach. Results prove a primacy of using queries from the title field of the topics and a slight gain of using stemming compared to the non stemming cases. © Springer-Verlag Berlin Heidelberg 2006.
Author supplied keywords
Cite
CITATION STYLE
Baziz, M., Boughanem, M., & Aussenac-Gilles, N. (2006). Evaluating a conceptual indexing method by utilizing WordNet. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4022 LNCS, pp. 238–246). Springer Verlag. https://doi.org/10.1007/11878773_28
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
