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1
Chinese whispers: Cooperative paraphrase acquisition
In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/772_Paper.pdf (2012)
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2
Building textual entailment specialized data sets: a methodology for isolating linguistic phenomena relevant to inference
In: http://www.lrec-conf.org/proceedings/lrec2010/pdf/478_Paper.pdf (2010)
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3
Overview of ResPubliQA 2009: Question Answering Evaluation over European Legislation
In: http://clef.isti.cnr.it/2009/working_notes/ResPubliQA-overview.pdf (2009)
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4
Overview of the CLEF 2007 multilingual question answering track
In: http://ceur-ws.org/Vol-1173/CLEF2007wn-QACLEF-GiampiccoloEt2007.pdf (2007)
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5
Overview of the CLEF 2007 multilingual question answering track
In: http://www.celct.it/download/qa07_overview_working_notes.pdf (2007)
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6
Overview of the clef 2007 multilingual question answering track
In: http://www.linguateca.pt/documentos/CLEF07Proceedings_QA_Overview_LNCS_Final-version.pdf (2007)
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7
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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8
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)
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9
Overview of the CLEF 2005 Multilingual Question Answering Track
In: http://www.science.uva.nl/~mdr/Publications/Files/clef2005-qa-overview-proceedings.pdf (2005)
Abstract: 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. We provide an overview of the 2005 QA track, detail the procedure followed to build the test sets and present a general analysis of the results.
URL: http://www.science.uva.nl/~mdr/Publications/Files/clef2005-qa-overview-proceedings.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.245
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10
Association for Computational Linguistics The Italian Lexical Sample Task at SENSEVAL-3
In: http://www.aclweb.org/anthology-new/W/W04/W04-0805.pdf
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11
Overview of the CLEF 2006 Multilingual Question Answering Track
In: http://www.linguateca.pt/documentos/MagninietalRocha2006.pdf
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12
UvA-DARE (Digital Academic Repository) Overview of the CLEF 2005 Multilingual Question Answering Track Overview of the CLEF 2005 Multilingual Question Answering Track
In: https://pure.uva.nl/ws/files/3890088/38030_clef_2005_qa_overview_wn.pdf
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13
The Multilingual Question Answering Track at CLEF
In: http://www.linguateca.pt/Diana/download/MagninietalLREC2006.pdf
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14
Evaluating Multilingual Question Answering Systems at CLEF
In: http://www.lrec-conf.org/proceedings/lrec2010/pdf/464_Paper.pdf
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15
Overview of the CLEF 2006 Multilingual Question Answering Track
In: http://www.clef-campaign.org/2006/working_notes/workingnotes2006/magniniOCLEF2006.pdf
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16
Anselmo Peñas, 7
In: http://www.linguateca.pt/Diana/download/VallinetalSpringer2006.pdf
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17
Anselmo Peñas, 7
In: http://www.linguateca.pt/Repositorio/VallinetalSpringer2006.pdf
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18
A Resource for Investigating the Impact of Anaphora and Coreference on Inference
In: http://www.cs.biu.ac.il/%7Emirkins/publications/LREC-2010_Abad-etal.pdf
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