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Arabic QA4MRE at CLEF 2012: Arabic Question Answering for Machine Reading Evaluation

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Arabic QA4MRE at CLEF 2012: Arabic Question Answering for Machine Reading Evaluation

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dc.contributor.author Trigui, Omar es_ES
dc.contributor.author Hadrich Belguith, Lamia es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Ben Amor, Hichem es_ES
dc.contributor.author Gafsaoui, Bilel es_ES
dc.date.accessioned 2015-01-23T12:34:26Z
dc.date.available 2015-01-23T12:34:26Z
dc.date.issued 2012
dc.identifier.issn 2038-4963
dc.identifier.uri http://hdl.handle.net/10251/46315
dc.description.abstract This paper presents the work carried out at ANLP Research Group for the CLEF-QA4MRE 2012 competition. This year, the Arabic language was introduced for the first time on QA4MRE lab at CLEF whose intention was to ask questions which require a deep knowledge of individual short texts and in which systems were required to choose one answer from multiple answer choices, by analyzing the corresponding test document in conjunction with background collections. In our participation, we have proposed an approach which can answer questions with multiple answer choices from short Arabic texts. This approach is constituted essentially of shallow information retrieval methods. The evaluation results of the running submitted has given the following scores: accuracy calculated overall all questions is 0.19 (i.e., 31 correct questions answered correctly among 160), while overall c@1 measure is also 0.19. The overall results obtained are not enough satisfactory comparing to the top works realized last year in QA4MRE lab. But as a first step at the roadmap of the evolution of the QA to Machine Reading (MR) systems in Arabic language and with the lack of researches investigated in the MR and deep knowledge reasoning in Arabic language, it is an encouraging step. Our proposed approach with its shallow criterion has succeeded to obtain the goal fixed at the beginning which is: select answers to questions from short texts without required enough external knowledge and complex inference. es_ES
dc.language Inglés es_ES
dc.publisher CELCT es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Machine Reading es_ES
dc.subject Reading Comprehension es_ES
dc.subject Knowledge Reasoning es_ES
dc.subject Arabic Language es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Arabic QA4MRE at CLEF 2012: Arabic Question Answering for Machine Reading Evaluation es_ES
dc.type Comunicación en congreso es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Trigui, O.; Hadrich Belguith, L.; Rosso, P.; Ben Amor, H.; Gafsaoui, B. (2012). Arabic QA4MRE at CLEF 2012: Arabic Question Answering for Machine Reading Evaluation. CELCT. http://hdl.handle.net/10251/46315 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.conferencename CLEF 2012 Conference and Labs of the Evaluation Forum es_ES
dc.relation.conferencedate September 17-20, 2012 es_ES
dc.relation.conferenceplace Rome, Italy es_ES
dc.relation.publisherversion http://www.clef-initiative.eu/edition/clef2012/working-notes es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 232482


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