Claudia Denicia-Carral

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This paper describes the system developed by the Language Technologies Lab at INAOE for the Spanish Question Answering task at CLEF 2006. The presented system is centered in a full data-driven architecture that uses machine learning and text mining techniques to identify the most probable answers to factoid and definition questions respectively. Its major(More)
This paper describes a method for definition question answering based on the use of surface text patterns. The method is specially suited to answer questions about person's positions and acronym's descriptions. It considers two main steps. First, it applies a sequence-mining algorithm to discover a set of definition-related text patterns from the Web. Then,(More)
This paper describes the system developed by the Language Technologies Lab of INAOE for the Spanish Question Answering task at CLEF 2007. The presented system is centered in a full data-driven architecture that uses information retrieval and machine learning techniques to identify the most probable answers to definition and factoid questions respectively.(More)
This paper describes a QA system centered in a full data-driven architecture. It applies machine learning and text mining techniques to identify the most probable answers to factoid and definition questions respectively. Its major quality is that it mainly relies on the use of lexical information and avoids applying any complex language processing resources(More)
This paper discusses our system's results at the Spanish Question Answering task of CLEF 2007. Our system is centered in a full data-driven approach that combines information retrieval and machine learning techniques. It mainly relies on the use of lexical information and avoids any complex language processing procedure. Evaluation results indicate that(More)
This paper describes a method for answering definition questions that is exclusively based on the use of lexical patterns, and, therefore, that is language independent. This method applies two main text-mining steps. The first step focuses on the discovery of a set of surface lexical patterns from definition examples downloaded from the Web. Subsequently,(More)
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