Luis Villaseñor-Pineda

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Resumen: El presente trabajo describe los principales retos de los sistemas de Búsqueda de Respuestas (BR) Multilingües. Concretamente se aborda el problema de la combinación o fusión de respuestas candidatas provenientes de búsquedas en colecciones en diferentes idiomas. Este trabajo compara diferentes técnicas de fusión, propuestas en otras áreas de(More)
Finding accurate information on the web has become a challenge due to the increment in the number of documents available on line. Current search engines retrieve relevant documents to general –often short– user queries, but fail extracting answers to simple and factual questions in natural language. This paper presents the basis of a statistical question(More)
Sequential Pattern Mining is a widely addressed problem in data mining, with applications such as analyzing Web usage, examining purchase behavior, and text mining, among others. Nevertheless, with the dramatic increase in data volume, the current approaches prove inefficient when dealing with large input datasets, a large number of different symbols and(More)
Cet article décrit la méthode développée par le Laboratoire de Technologies Langagières de l'IN-AOE pour la tâche d'appariement résumés/articles dans le cadre de DEFT 2011. Pour aborder cette tâche, on a présupposé qu'un auteur emploi les mêmes expressions contenues dans le corps d'un article pour construire le ré-sumé respectif. En conséquence, notre(More)
Recent evaluation results from Geographic Information Retrieval (GIR) indicate that current information retrieval methods are effective to retrieve relevant documents for geographic queries, but they have severe difficulties to generate a pertinent ranking of them. Motivated by these results in this paper we propose a novel method to reorder the list of(More)
This paper focuses on the task of bilingual clustering, which involves dividing a set of documents from two different languages into a set of thematically homogeneous groups. It mainly proposes a translation independent approach specially suited to deal with linguistically related languages. In particular, it proposes representing the documents by pairs of(More)
—Multi-document summarization systems must be able to draw the " best " information from a set of documents. In this paper we propose a novel extractive approach for multi-document summarization based on the detection of locally relevant sentences. Our main hypothesis is that by extracting relevant sentences from each document within a collection, instead(More)
This paper describes a language independent method for speaker identification. This method is based on a novel characterization of the speech signal that captures the dynamic information contained in the cepstral coefficients. The proposed method was evaluated through several experiments on a corpus of Mexican speakers. The achieved results demonstrated the(More)