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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 GeoCLEF 2008: the CLEF 2008 Cross-Language Geographic Information Retrieval Track Overview Mandl, Thomas; Carvalho, Paula; Gey, Fredric. - : Springer, 2018 BASE Show details 2 Challenges to Evaluation of Multilingual Geographic Information Retrieval in GeoCLEF Gey, Fredric; Larson, Ray; Sanderson,, Mark. - 2007 BASE Show details 3 Domain-Specific CLIR of English, German and Russian Using Fusion and Subject Metadata for Query Expansion ... Petras, Vivien; Gey, Fredric; Larson, Ray R.. - : Humboldt-Universität zu Berlin, 2006 BASE Show details 4 Berkeley at GeoCLEF ... Larson, Ray R.; Gey, Fredric C.; Petras, Vivien. - : Humboldt-Universität zu Berlin, 2006 BASE Show details 5 Berkeley at GeoCLEF Larson, Ray R.; Gey, Fredric C.; Petras, Vivien. - : Humboldt-Universität zu Berlin, 2006 Abstract: In this paper we will describe the Berkeley (groups 1 and 2 combined) submissions and approaches to the GeoCLEF task for CLEF 2005. The two Berkeley groups used different systems and approaches for GeoCLEF with some common themes. For Berkeley group 1 (Larson) the main technique used was fusion of multiple probabilistic searches against different XML components using both Logistic Regression (LR) algorithms and a version of the Okapi BM-25 algorithm. The Berkeley group 2 (Gey and Petras) employed tested CLIR methods from previous CLEF evaluations using Logistic Regression with Blind Feedback. Both groups used multiple translations of queries in for cross-language searching, and the primary geographically-based approaches taken by both involved query expansion with additional place names. The Berkeley1 group used GIR indexing techniques to georeference proper nouns in the text using a gazetteer derived from the World Gazetteer (with both English and German names for each place), and automatically expanded place names in topics for regions or countries in the queries by the names of the countries or cities in those regions or countries. The Berkeley2 group used manual expansion of queries, adding additional place names. ; Peer Reviewed Keyword: 020 Bibliotheks- und Informationswissenschaften; ddc:020 URN: urn:nbn:de:kobv:11-110-18452/21178-8 URL: https://doi.org/10.1007/11878773_108 https://doi.org/10.18452/19967 http://edoc.hu-berlin.de/18452/21178 BASE Hide details 6 Domain-Specific CLIR of English, German and Russian Using Fusion and Subject Metadata for Query Expansion Petras, Vivien; Gey, Fredric; Larson, Ray R.. - : Humboldt-Universität zu Berlin, 2006 BASE Show details 7 Berkeley's TREC 8 Interactive Track Entry: Cheshire II and Zprise Larson, Ray R. In: DTIC (2006) BASE Show details 8 Advanced Search Technologies for Unfamiliar Metadata Gey, Fredric C.; Chen, Hui-Min; Norgard, Barbara... In: DTIC (2001) BASE Show details

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