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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 Page: 1 2 Hits 1 – 20 of 31 1 Overview of the CLEF eHealth Evaluation Lab 2019 Kelly, Liadh; Suominen, Hanna; Goeuriot, Lorraine. - : Springer Verlag, 2019 BASE Show details 2 Comparative Study of Monolingual and Multilingual Search Models for Use with Asian Languages Jacques Savoy In: http://members.unine.ch/jacques.savoy/papers/clirtalip.pdf (2005) BASE Show details 3 Report on CLEF-2005 evaluation campaign: Monolingual, bilingual, and GIRT information retrieval Jacques Savoy; Pierre-yves Berger In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/savoy05.pdf (2005) BASE Show details 4 Report on CLEF-2003 multilingual tracks Jacques Savoy In: http://www.unine.ch/info/Gi/Papers/CLEF2003Multi.pdf (2004) BASE Show details 5 Selection and Merging Strategies for Multilingual Information Retrieval Jacques Savoy; Pierre-yves Berger In: https://doc.rero.ch/record/17192/files/Savoy_Jacques_-_Selection_and_Merging_Strategies_for_Multilingual_20100211.pdf (2004) BASE Show details 6 Combining Multiple Strategies for Effective Monolingual and Cross-Language Retrieval Jacques Savoy In: https://doc.rero.ch/record/13167/files/Savoy_Jacques_-_Combining_Multiple_Strategies_for_Effective_20091208.pdf (2004) BASE Show details 7 Report on clef-2002 experiments: Combining multiple sources of evidence Jacques Savoy In: http://www.clef-campaign.org/workshop2002/WN/3.pdf (2002) BASE Show details 8 Report on clef-2002 experiments: Combining multiple sources of evidence Jacques Savoy In: http://members.unine.ch/jacques.savoy/papers/clef2002rv.pdf (2002) BASE Show details 9 Report on CLEF-2001 Experiments Jacques Savoy In: http://www.ercim.org/publication/ws-proceedings/CLEF2/savoy.pdf (2001) BASE Show details 10 Report on CLEF-2001 Experiments Jacques Savoy In: http://www.unine.ch/info/Gi/Papers/CLEF2001.pdf (2001) BASE Show details 11 Domain-Specific IR for German, English and Russian Languages Claire Fautsch; Ljiljana Dolamic; Samir Abdou... In: http://www.clef-campaign.org/2007/working_notes/FautschCLEF2007.pdf BASE Show details 12 UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain- Specific and Robust Retrieval Jacques Savoy; Samir Abdou In: http://members.unine.ch/jacques.savoy/papers/clef2006wp.pdf BASE Show details 13 Searching Strategies for the Hungarian Language Jacques Savoy In: http://members.unine.ch/jacques.savoy/papers/huipm.pdf BASE Show details 14 Lexical Analysis of Obama's and McCain's Speeches Jacques Savoy In: http://members.unine.ch/jacques.savoy/Papers/USspeeches.pdf BASE Show details 15 UniNE at FIRE 2010: Hindi, Bengali, and Marathi IR Ljiljana Dolamic; Jacques Savoy In: http://www.isical.ac.in/~fire/paper_2010/Dolamic-UniNE-fire2010.pdf Abstract: In participating in this second FIRE evaluation campaign, our first objective is to analyze the retrieval effectiveness of various indexing and search strategies when dealing with corpora written in Hindi, Bengali and Marathi languages. As a second goal, we have developed new and more aggres-sive stemming strategies for both Marathi and Hindi lan-guages. We have compared their retrieval effectiveness with both light stemming strategy or n-gram language-independent approach. As another language-independent indexing strat-egy, we have evaluated the trunc-n method in which the indexing term is formed by considering only the first n let-ters of each word. To evaluate these solutions we have used various IR models including models derived from Divergence from Randomness (DFR), Language Model (LM) as well as Okapi, or the classical tf · idf vector-processing approach. For all three languages studied, our experiments tend to show that IR models derived from Divergence from Ran-domness (DFR) paradigm tend to produce the best over-all results. For these languages, our various experiments demonstrate also that either an aggressive stemming pro-cedure or the trunc-n indexing approach produces better retrieval effectiveness when compared to other word-based or language-independent approaches. Applying the Z-score as data fusion operator after a blind-query expansion tends also to improve the MAP of the merged run over the best single IR system. 1. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.619.8047 http://www.isical.ac.in/~fire/paper_2010/Dolamic-UniNE-fire2010.pdf BASE Hide details 16 Stemming Approaches for East European Languages Ljiljana Dolamic; Jacques Savoy In: http://clef.isti.cnr.it/2007/working_notes/DolamicCLEF2007.pdf BASE Show details 17 UniNE at CLEF 2009: Persian Ad Hoc Retrieval and IP Claire Fautsch; Jacques Savoy In: http://ceur-ws.org/Vol-1175/CLEF2009wn-Miscellaneous-DolamicEt2009.pdf BASE Show details 18 S.: UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain-Specific and Robust Retrieval Jacques Savoy; Samir Abdou In: http://www.samir-abdou.net/papers/savoyCLEF2006.pdf BASE Show details 19 Multilingual Information Retrieval with Asian Languages Jacques Savoy In: http://www3.riao.org/Proceedings-2004/papers/0050.pdf BASE Show details 20 UniNE at CLEF 2008: TEL, Persian and Robust IR,” in Carol Peters et al. (Eds.): Evaluating Systems for Multilingual and Ljiljana Dolamic; Claire Fautsch; Jacques Savoy In: http://clef.isti.cnr.it/2008/working_notes/Dolamic-paperCLEF2008.pdf BASE Show details Page: 1 2

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