En este artículo, describimos un modelo interactivo de resumen orientado
a síntesis de información (PRISMA). El usuario interactúa con el sistema por
medio de listas de conceptos clave extraídos automáticamente. El modelo hace uso
de información sintáctica para identificar conceptos…

Actualmente existe una cierta tendencia investigadora hacia el área de
la búsqueda de respuestas en dominios restringidos. En este papel se detalla la parte
de nuestro sistema de búsqueda de respuestas en el dominio médico que se encarga
del análisis…

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…

Los cambios registrados en el clima durante las últimas décadas están afectando a la distribución y dinámica poblacional de las especies a una escala global, induciendo cambios en la fenología, en el crecimiento o en las interacciones bióticas. Estas alteraciones…

In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowledge from an annotated corpus and this knowledge is represented in the form of…

This paper describes the development of an image retrieval
system that combines probabilistic and ontological information1. The
process is divided in two different stages: indexing and retrieval. Three
information flows have been created with different kind of information
each one:…

When building Hypermedia/Web Applications, (different) designers are often faced with the same problems over and over again. Those recurring problems soon yield elegant solutions, which can be conveniently described as design patterns. In this paper we present two patterns for…

An audience driven philosophy for web site design takes the different target audiences as an explicit starting point, and organizes the basic navigation structure accordingly. However, for the designer it is not always easy, or sometimes even impossible, to assess…

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…

After an impressive development throughout the last two decades, supported by a great
amount of research and innovation, science education seemed to be becoming a new scientific domain.
This transformation of Science Education into a specific field of research and…