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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 evaluation of cross-language information retrieval systems
In: http://www.mt-archive.info/LREC-2004-Peters.pdf (2005)
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3
The Future of Evaluation for Cross-Language Information Retrieval Systems
In: http://nlp.uned.es/pergamus/pubs/clef-lrec.pdf (2004)
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4
Eurospider at CLEF 2002
In: http://www.clef-campaign.org/workshop2002/WN/15.pdf (2002)
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5
Experiments with the eurospider retrieval system for CLEF 2000
In: http://www.ercim.org/publication/ws-proceedings/CLEF2/eurospider.pdf (2001)
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6
Experiments with the Eurospider Retrieval System for CLEF 2000
In: http://www.iei.pi.cnr.it/DELOS/CLEF/braschler.pdf (2001)
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7
The Evaluation of Systems for Cross-Language Information Retrieval
In: http://www.educat.hu-berlin.de/~kluck/lrec2000-paper-70.pdf (2000)
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8
The Eurospider Retrieval System and the TREC-8 Cross-Language Track
In: http://www.cs.columbia.edu/~min/papers/eit_t8f.pdf (1999)
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9
SPIDER Retrieval System at TREC7
In: http://trec.nist.gov/pubs/trec7/papers/ETHTREC7.pdf.gz (1999)
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10
The Eurospider Retrieval System and the TREC-8 Cross-Language Track
In: http://trec.nist.gov/pubs/trec8/papers/eit_t8f.pdf (1999)
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11
SPIDER Retrieval System at TREC7
In: http://trec.nist.gov/pubs/trec7/papers/ETHTREC7.ps (1999)
Abstract: This year the Zurich team participated in two tracks: the automatic-adhoc track and the crosslingual track. For the adhoc task we focused on improving retrieval for short queries. We pursued two aims. First, we investigated weighting functions for short queries---explicitely without any kind of automatic query expansion. Second we developed rules that automatically decide for which queries automatic expansion works fine and for which it does not. For the cross-language track, we approached the problem of retrieving documents from a multilingual document pool containing documents in all TREC CLIR languages. Our method uses individual runs for different language combinations, followed by merging their results into one final ranked list. We obtained good results without sophisticated machine translation or costly linguistic resources. 1 Introduction For this year's adhoc runs we pursued ideas that were introduced by users with the hope to unite the weighting schemes based on probabilisti.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.6540
http://trec.nist.gov/pubs/trec7/papers/ETHTREC7.ps
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12
From CLEF to TrebleCLEF: promoting Technology Transfer for Multilingual Information Retrieval
In: http://dis.shef.ac.uk/mark/publications/my_papers/DELOS_CLEFtoTrebleCLEF_20071116-d.pdf
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13
The CLEF Campaign
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings2/Martin.pdf
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14
From Research to Application in Multilingual Information Access: the Contribution of Evaluation
In: http://www.mt-archive.info/LREC-2008-Peters.pdf
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15
The CLEF Campaign
In: http://www.mt-archive.info/NTCIR-2001-Braschler.pdf
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16
Conference on Multilingual and Multimodal Information Access Evaluation
In: http://www.sigir.org/forum/2010D/conferences/2010d_sigirforum_agosti.pdf
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17
A PROMISE for Experimental Evaluation
In: http://allan.hanbury.eu/lib/exe/fetch.php?media=ferro_et_al_promise.pdf
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18
From Research to Application in Multilingual Information Access: the Contribution of Evaluation
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/913_paper.pdf
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19
2004), ‘The future of evaluation for cross-language information retrieval systems
In: http://www.lrec-conf.org/proceedings/lrec2004/pdf/285.pdf
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