Abstract
In this paper the XML Information Retrieval System PF/Tijah is applied to retrieval tasks on large spoken document collections. The used example setting is the English CLEF-2006 CL-SR collection together with given English topics and self produced Dutch topics. The main findings presented in this paper are the easy way of adapting queries to use different kinds and combinations of metadata. Furthermore simple ways of combining different metadata kinds are shown to be beneficial in terms of mean average precision. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Aly, R., Hiemstra, D., Ordelman, R., Van Der Werff, L., & De Jong, F. (2007). XML information retrieval from spoken word archives. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4730 LNCS, pp. 770–777). Springer Verlag. https://doi.org/10.1007/978-3-540-74999-8_97
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