Abstract
For the 2008 participation at GeoCLEF, we focused on improving the extraction of geographic signatures from documents and optimising their use for GIR. The results show that the detection of explicit geographic named entities for including their terms in a tuned weighted index field significantly improves retrieval performance when compared to classic text retrieval. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Cardoso, N., Sousa, P., & Silva, M. J. (2009). Experiments with geographic evidence extracted from documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5706 LNCS, pp. 885–893). https://doi.org/10.1007/978-3-642-04447-2_117
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