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Participation. Monolingual vs Bilingual English. Bilingual 76% wrt Monolingual. Monolingual vs BilingualGerman. Bilingual 86% wrt Monolingual. Monolingual vs Bilingual Portuguese. Bilingual 90% wrt Monolingual. Approaches. XLDB (2 nd monolingual Portuguese)
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Monolingual vs Bilingual English Bilingual 76% wrt Monolingual
Monolingual vsBilingualGerman Bilingual 86% wrt Monolingual
Monolingual vs Bilingual Portuguese Bilingual 90% wrt Monolingual
Approaches • XLDB (2nd monolingual Portuguese) • REMBRANDT, language-dependent named-entity recognition (uses Wikipedia) • QueryCol, query reformulation: blind relevance feedback, query expansion using geographic ontology • MG4J: text index/retrieval, implicit and explicit geographical indexes • Jaen (2nd bilingual English) • Lemure • SINTRAM (Sinai Translation Module) • Location index (Ling Pipe for NER using GeoNames), • Query reformulation module • AliVale (2nd monolingual English) • Jaen + Fuzzy Borda result merging • CSUMS (last in all the tasks[!]) • TERRIER index/retrieval (DFR) • CHESHIRE (1st all bilingual tasks, 1st monolingual Portuguese) • OKAPI/BM25, Logistic Regression, fusion approaches • Geographic Indexing Subsystem using World Gazetteer (not used this year?) • LEC Power Translator • Hagen (1st monolingual German) • GIRSA (GIR by semantic annotation) • Text and location names indexed separately • Results of IR and QA combined • DFKI (1st monolingual English) • Lucene • NER Topic parsing (event part and geographic part) • Geographic ontology (using geographic taxonomies such as GeoNames, World Gazetteer) • Event ontology (using Wikipedia)
Some other approaches • UPV • Lucene • GeoWorSE • Stanford NER system, Geo WordNet • Geo index, text index, WordNet index • ICL/KMI • Lucene • Geografic index, text index • NER Sheffield’s GATE • Pedia Crawler for geographic co-occurrence • Data fusion • Pittsburgh • Query pattern analysis (geo-part, topic-part) • Lingpipe NER • WikiGEO • INAOE • Lemure • Re-ranking using geographic expansion process • GeoNames, Lingpipe