A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Filtering for Improving the Geographic Information Search
Advances in Multilingual and Multimodal Information Retrieval
Geographical information retrieval
International Journal of Geographical Information Science
GeoCLEF 2008: the CLEF 2008 cross-language geographic information retrieval track overview
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
GEOUJA system the first participation of the University of Jaén at GeoCLEF 2006
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Geographic expansion of queries to improve the geographic information retrieval task
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Application of Text Summarization techniques to the Geographical Information Retrieval task
Expert Systems with Applications: An International Journal
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
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This paper describes the use of query reformulation to improve the Geographic Information Retrieval (GIR) task. This technique also includes the geographic expansion of the topics. Moreover, several experiments related to the use of keywords and hyponyms in the filtering process are performed. We also use a new approach in the re-ranking process based on the original position of each document in the ranking. The results obtained show that our query reformulation sometimes retrieves valid documents that the default query is not able to find, but on average it does not improve the baseline case. The best result is obtained considering the geographic entities in the traditional retrieval process.