Automatic combination of multiple ranked retrieval systems
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Condorcet fusion for improved retrieval
Proceedings of the eleventh international conference on Information and knowledge management
Fusion Via a Linear Combination of Scores
Information Retrieval
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
TALP at GeoCLEF 2007: Results of a Geographical Knowledge Filtering Approach with Terrier
Advances in Multilingual and Multimodal Information Retrieval
A conceptual density-based approach for the disambiguation of toponyms
International Journal of Geographical Information Science
UPV-WSD: combining different WSD methods by means of fuzzy Borda voting
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Borda-based voting schemes for semantic role labeling
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
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In this paper we discuss the integration of different GIR systems by means of a fuzzy Borda method for result fusion. Two of the systems, the one by the Universidad Politécnica de Valencia and the one of the Universidad of Jaén participated to the GeoCLEF task under the name TextMess. The proposed result fusion method takes as input the document lists returned by the different systems and returns a document list where the documents are ranked according to the fuzzy Borda voting scheme. The obtained results show that the fusion method allows to improve the results of the component systems, although the fusion is not optimal, because it is effective only if the components return a similar set of relevant documents.