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1
Overview of the CLEF eHealth Evaluation Lab 2019
Kelly, Liadh; Suominen, Hanna; Goeuriot, Lorraine. - : Springer Verlag, 2019
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2
Comparative Study of Monolingual and Multilingual Search Models for Use with Asian Languages
In: http://members.unine.ch/jacques.savoy/papers/clirtalip.pdf (2005)
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3
Report on CLEF-2005 evaluation campaign: Monolingual, bilingual, and GIRT information retrieval
In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/savoy05.pdf (2005)
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4
Report on CLEF-2003 multilingual tracks
In: http://www.unine.ch/info/Gi/Papers/CLEF2003Multi.pdf (2004)
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5
Selection and Merging Strategies for Multilingual Information Retrieval
In: https://doc.rero.ch/record/17192/files/Savoy_Jacques_-_Selection_and_Merging_Strategies_for_Multilingual_20100211.pdf (2004)
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6
Combining Multiple Strategies for Effective Monolingual and Cross-Language Retrieval
In: https://doc.rero.ch/record/13167/files/Savoy_Jacques_-_Combining_Multiple_Strategies_for_Effective_20091208.pdf (2004)
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7
Report on clef-2002 experiments: Combining multiple sources of evidence
In: http://www.clef-campaign.org/workshop2002/WN/3.pdf (2002)
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8
Report on clef-2002 experiments: Combining multiple sources of evidence
In: http://members.unine.ch/jacques.savoy/papers/clef2002rv.pdf (2002)
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9
Report on CLEF-2001 Experiments
In: http://www.ercim.org/publication/ws-proceedings/CLEF2/savoy.pdf (2001)
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10
Report on CLEF-2001 Experiments
In: http://www.unine.ch/info/Gi/Papers/CLEF2001.pdf (2001)
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11
Domain-Specific IR for German, English and Russian Languages
In: http://www.clef-campaign.org/2007/working_notes/FautschCLEF2007.pdf
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12
UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain- Specific and Robust Retrieval
In: http://members.unine.ch/jacques.savoy/papers/clef2006wp.pdf
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13
Searching Strategies for the Hungarian Language
In: http://members.unine.ch/jacques.savoy/papers/huipm.pdf
Abstract: Abstract. This paper reports on the underlying IR problems encountered when dealing with the complex morphology and compound constructions found in the Hungarian language. It describes evaluations carried out on two general stemming strategies for this language, and also demonstrates that a light stemming approach could be quite effective. Based on searches done on the CLEF test collection, we find that a more aggressive suffix-stripping approach may produce better MAP. When compared to an IR scheme without stemming or one based on only a light stemmer, we find the differences to be statistically significant. When compared with probabilistic, vector-space and language models, we find that the Okapi model results in the best retrieval effectiveness. The resulting MAP is found to be about 35 % better than the classical tf idf approach, particularly for very short requests. Finally, we demonstrate that applying an automatic decompounding procedure for both queries and documents significantly improves IR performance (+10%), compared to word-based indexing strategies. 1
URL: http://members.unine.ch/jacques.savoy/papers/huipm.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.3171
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14
Lexical Analysis of Obama's and McCain's Speeches
In: http://members.unine.ch/jacques.savoy/Papers/USspeeches.pdf
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15
UniNE at FIRE 2010: Hindi, Bengali, and Marathi IR
In: http://www.isical.ac.in/~fire/paper_2010/Dolamic-UniNE-fire2010.pdf
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16
Stemming Approaches for East European Languages
In: http://clef.isti.cnr.it/2007/working_notes/DolamicCLEF2007.pdf
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17
UniNE at CLEF 2009: Persian Ad Hoc Retrieval and IP
In: http://ceur-ws.org/Vol-1175/CLEF2009wn-Miscellaneous-DolamicEt2009.pdf
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18
S.: UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain-Specific and Robust Retrieval
In: http://www.samir-abdou.net/papers/savoyCLEF2006.pdf
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19
Multilingual Information Retrieval with Asian Languages
In: http://www3.riao.org/Proceedings-2004/papers/0050.pdf
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20
UniNE at CLEF 2008: TEL, Persian and Robust IR,” in Carol Peters et al. (Eds.): Evaluating Systems for Multilingual and
In: http://clef.isti.cnr.it/2008/working_notes/Dolamic-paperCLEF2008.pdf
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