In this paper, a restricted domain question answering (QA) system is described. The design architecture of this QA system and the features that allow the adaptation of the QA system to the medical domain are also presented. The advantages of…

La mayoría de los sistemas de gestión de diálogo actuales se basan en conocimiento estructurado extraído del análisis de corpus. Esta es una de las primeras tareas que deben ser abordadas para alimentar y poner en funcionamiento un sistema de…

In this paper, a method of event ordering based on temporal information resolution is presented. This method consists of two main steps: on the one hand, the recognition and resolution of the temporal expressions that can be transformed on a…

En este trabajo se propone un modelo fractal —la herramienta matemática empleada por Mandelbrot en el estudio de fenómenos naturales de nuestro entorno— para dar cuenta de la propagación de la ciencia desde una nueva perspectiva, lo que nos permite…

This paper evaluates the different tasks carried out in the translation of pronominal anaphora in a machine translation (MT) system. The MT interlingua approach named AGIR (Anaphora Generation with an Interlingua Representation) improves upon other proposals presented to date because…

In this paper, we describe the process to extend TERSEO
system to Italian using an automatic porting to this new
language, as it was performed to English., In questo report viene descritto il processo in base al
quale TERSEO, un…

Objetivos: Las ontologías son un recurso que permite trabajar informáticamente con la conceptualización del significado y evitar la limitación impuesta por los términos normalizados. El objetivo de este estudio es establecer el grado de usabilidad de las terminologías para el…

When training hidden-Markov-model-based part-of-speech (PoS) taggers involved in machine translation systems in an unsupervised manner the use of target-language information has proven to give better results than the standard Baum-Welch algorithm. The target-language-driven training algorithm proceeds by translating every possible…

Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those…

The extension to new languages is a well known bottleneck for rule-based systems. Considerable human effort, which typically consists in re-writing from scratch huge amounts of rules, is in fact required to transfer the knowledge available to the system from…