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1
M.: Application of Axiomatic Approaches to Crosslanguage Retrieval
In: http://clef.isti.cnr.it/2009/working_notes/rkern-paperCLEF2009.pdf (2010)
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2
Overview of VideoCLEF 2009: New perspectives on speech-based multimedia content enrichment
In: http://clef.isti.cnr.it/2009/working_notes/larsonVideoCLEF2009_overview.pdf (2009)
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3
Multiple retrieval models and regression models for prior art search
In: http://clef.isti.cnr.it/2009/working_notes/lopez-paperCLEF2009.pdf (2009)
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4
Multiple retrieval models and regression models for prior art search
In: http://hal.archives-ouvertes.fr/docs/00/41/18/35/PDF/technote.pdf (2009)
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5
Overview of the ImageCLEFphoto 2008 Photographic Retrieval Task. 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access (CLEF 2008
In: http://clef.isti.cnr.it/2008/working_notes/ImageCLEFphoto2008-final.pdf (2008)
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6
de Rijke. Overview of WebCLEF 2006
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-WebCLEF-BalogEt2006a.pdf (2006)
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7
F.Llopis. AliQAn and BRILI QA systems at CLEF 2006
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-QACLEF-FerrandezEt2006.pdf (2006)
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8
Overview of the CLEF 2005 Multilingual Question Answering Track
In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/vallin05.pdf (2005)
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9
Overview of the CLEF 2005 Multilingual Question Answering Track
In: http://www.science.uva.nl/~mdr/Publications/Files/clef-2005-qa-overview-wn.pdf (2005)
Abstract: The general aim of the third CLEF Multilingual Question Answering Track was to set up a common and replicable evaluation framework to test both monolingual and cross-language Question Answering (QA) systems that process queries and documents in several European languages. Nine target languages and ten source languages were exploited to enact 8 monolingual and 73 cross-language tasks. Twenty-four groups participated in the exercise.Overall results showed a general increase in performance in comparison to last year. The best performing monolingual system irrespective of target language answered 64.5 % of the questions correctly (in the monolingual Portuguese task), while the average of the best performances for each target language was 42.6%. The cross-language step instead entailed a considerable drop in performance. In addition to accuracy, the organisers also measured the relation between the correctness of an answer and a system’s stated confidence in it, showing that the best systems did not always provide the most reliable confidence score.
Keyword: Categories and Subject Descriptors H.3 [Information Storage and Retrieval; Experimentation Keywords Question answering; H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval; H.3.4 Systems and Software; I.2 [Artificial Intelligence; I.2.7 Natural Language Processing General Terms Measurement; Performance
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.2950
http://www.science.uva.nl/~mdr/Publications/Files/clef-2005-qa-overview-wn.pdf
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10
Berkeley2 at GeoCLEF: Cross-Language Geographic Information Retrieval of German and English Documents
In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/gey205.pdf (2005)
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11
Sanchis: TPIRS: A System for Document Indexing Reduction on WebCLEF, Extended abstract in Working notes of CLEF’05, Viena
In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/pinto05.pdf (2005)
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12
Evaluating Answer Validation in Spanish Question Answering
In: http://ceur-ws.org/Vol-1174/CLEF2008wn-QACLEF-TellezValero2008.pdf
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13
Evaluating Answer Validation in Spanish Question Answering
In: http://ccc.inaoep.mx/~mmontesg/publicaciones/2008/UsingAVinQA-CLEF08.pdf
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14
Robust Question Answering for Speech Transcripts: UPC Experience in QAst 2008
In: http://clef.isti.cnr.it/2008/working_notes/comas-paperCLEF2008.pdf
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15
Robust Question Answering for Speech Transcripts: UPC Experience in QAst 2008
In: http://www.lsi.upc.edu/~nlp/papers/comas08c.pdf
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16
Robust Question Answering for Speech Transcripts: UPC Experience in QAst 2009
In: http://clef.isti.cnr.it/2009/working_notes/comas-paperCLEF2009.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
Benefits of deep NLP-based lemmatization for information retrieval
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-Halacsy2006.pdf
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19
Amharic-English Information Retrieval
In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/atelachalemuargawCLEF2006.pdf
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20
TextMESS at GeoCLEF 2008: Result Merging with Fuzzy Borda Ranking
In: http://clef.isti.cnr.it/2008/working_notes/pereaortega-paperCLEF2008.pdf
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