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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 BASE Show 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 Abstract: This paper describes the participation of the University of Neuchâtel to the CLEF 2008 evaluation campaign. In the Persian ad hoc task, we suggest using a light suffix-stripping algorithm for the Farsi language and the evaluations demonstrated that such an approach performs better than a simple light stemmer, an approach ignoring the stemming stage or a language independent approach (n-gram). The use of a blind query expansion (e.g., Rocchio’s model) may improve the retrieval effectiveness. Combining different indexing and search strategies may further enhance the corresponding MAP. In the Intellectual Property (IP) task, we try different strategies to select and weight pertinent words to be extracted from a patent description in order to form an effective query. We also evaluated different search models and found that probabilistic models tend to perform better than vector-space schemes. Keyword: Algorithms. Keywords Intellectual Property; Categories and Subject Descriptors H.3 [Information Storage and Retrieval; H.2.3 [Database Management; H.3.1 Content Analysis and Indexing; H.3.3 Infor- mation Search and Retrieval; H.3.4 Systems and Software; H.3.7 Digital Libraries; Languages—Query Languages General Terms Experimentation; Measurement; Performance; Persian Language; Stemming URL: http://ceur-ws.org/Vol-1175/CLEF2009wn-Miscellaneous-DolamicEt2009.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.657.1039 BASE Hide 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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