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The GeoTALP-IR System at GeoCLEF 2005: Experiments Using a QA-Based IR System, Linguistic Analysis, and a Geographical Thesaurus
[chapter]
2006
Lecture Notes in Computer Science
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This phase uses a Keyword Selection algorithm based on Linguistic and Geographical Analysis of the topics. ...
The Document Retrieval system is based on Lucene and uses a modified version of the Passage Retrieval module used by the TALP Question Answering (QA) system at the CLEF 2004 and TREC 2004 QA evaluation ...
Our approach is based in a QA-based IR system for Document Retrieval and a Linguistic and Geographical Analysis of the collections and topics. ...
doi:10.1007/11878773_106
fatcat:on6xiwcw2rcizf5p7a5zr3t2be
TALP at GeoCLEF 2006: Experiments Using JIRS and Lucene with the ADL Feature Type Thesaurus
[chapter]
2007
Lecture Notes in Computer Science
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
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The TALPGeoIR system follows a similar architecture of the GeoTALP-IR system presented at GeoCLEF 2005 [2] with some changes in the Retrieval modes and the Geographical Knowledge Base. ...
The system has four phases performed sequentially: i) a Keyword Selection algorithm based on a Linguistic and Geographical Analysis of the topics, ii) a Geographical Document Retrieval with Lucene, iii ...
Acknowledgments This work has been partially supported by the European Commission (CHIL, IST-2004-506909 ...
doi:10.1007/978-3-540-74999-8_124
fatcat:vd72ej3s6vcsnbfrh6z5tbx3um