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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 Hits 1 – 3 of 3 1 Named and specific entity detection in varied data: the Quaero named entity baseline evaluation Galibert, Olivier; Quintard, Ludovic; Rosset, Sophie... In: 7. Conference on international language resources and evaluation ; https://hal.inrae.fr/hal-02754184 ; 7. Conference on international language resources and evaluation, May 2010, Valletta, Malta ; http://www.lrec-conf.org/proceedings/lrec2010/index.html (2010) BASE Show details 2 Named and specific entity detection in varied data: The Quaero Named Entity baseline evaluation Galibert, Olivier; Quintard, Ludovic; Rosset, Sophie... In: Seventh International Language Resources and Evaluation (LREC'10) ; https://hal.archives-ouvertes.fr/hal-02496836 ; Seventh International Language Resources and Evaluation (LREC'10), 2010, La Valette, Malta (2010) BASE Show details 3 Question answering on web data : the QA evaluation in Quaero Quintard, Ludovic; Galibert, Olivier; Adda, Gilles; Grau, Brigitte; Laurent, D; Moriceau, Véronique; Rosset, Sophie; Tannier, Xavier; Vilnat, Anne In: Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC’10) ; International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-02282126 ; International Conference on Language Resources and Evaluation, Jan 2010, Valetta, Malta (2010) Abstract: International audience ; In the QA and information retrieval domains, progress has been assessed via evaluation campaigns(Clef, Ntcir, Equer, Trec). In these evaluations, the systems handle independent questions and should provide one answer to each question, extracted from textual data, for both open domain and restricted domain. Quæro is a program promoting research and industrial innovation on technologies for automatic analysis and classification of multimedia and multilingual documents. Among the many research areas concerned by Quæro. The Quaero project organized a series of evaluations of Question Answering on Web Data systems in 2008 and 2009. For each language, English and French the full corpus has a size of around 20Gb for 2.5M documents. We describe the task and corpora, and especially the methodologies used in 2008 to construct the test of question and a new one in the 2009 campaign. Six types of questions were addressed, factual, Non-factual(How, Why, What), List, Boolean. A description of the participating systems and the obtained results is provided. We show the difficulty for a question-answering system to work with complex data and questions. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs] URL: https://hal.archives-ouvertes.fr/hal-02282126/document https://hal.archives-ouvertes.fr/hal-02282126/file/lrecQuaeroQA.pdf https://hal.archives-ouvertes.fr/hal-02282126 BASE Hide details

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