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ABSTRACT: This paper describes the changes implemented in Priberam’s question answering (QA) system, followed by the discussion of the
results obtained in Portuguese and Spanish monolingual runs at QA@CLEF 2008. We enhanced the syntactic analysis of the question
and improved the indexing process by using question categories at the sentence retrieval level. The fine-tuning of the syntactic
analysis allowed the system to more precisely match the pivots of the question with their counterparts in the answer. As a
result, in QA@CLEF 2008, Priberam’s system achieved a considerable overall accuracy increase in the Portuguese run.
09/2009: pages 337-344;
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ABSTRACT: This paper accounts for Priberam’s participation in the monolingual question answering (QA) track of CLEF 2007. In previous
participations, Priberam’s QA system obtained encouraging results both in monolingual and cross-language tasks. This year
we endowed the system with syntactical processing, in order to capture the syntactic structure of the question. The main goal
was to obtain a more tuned question categorisation and consequently a more precise answer extraction. Besides this, we provided
our system with the ability to handle topic-related questions and to use encyclopaedic sources like Wikipedia. The paper provides
a description of the improvements made in the system, followed by the discussion of the results obtained in Portuguese and
Spanish monolingual runs.
09/2008: pages 364-371;
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Evaluating Systems for Multilingual and Multimodal Information Access, 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers; 01/2008
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Advances in Multilingual and Multimodal Information Retrieval, 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers; 01/2007
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Accessing Multilingual Information Repositories, 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005, Vienna, Austria, 21-23 September, 2005, Revised Selected Papers; 01/2005
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ABSTRACT: This paper describes the work done by Priberam in the development of a question answering (QA) system for Portuguese. The
system was built using the company’s natural language processing (NLP) workbench and information retrieval technology. Special
focus is given to question analysis, document and sentence retrieval, as well as answer extraction stages. The paper discusses
the system’s performance in the context of the QA@CLEF 2005 evaluation.
01/1970: pages 410-419;
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ABSTRACT: We present the semantic multilingual question answering engine of the TRUST project, describing its overall architecture, its common multilingual resources, as well as the specific resources, tools and processing mechanisms implemented for the development of the Portuguese language module.
