This paper uses dynamic general equilibrium and computational methods, inspired by the multi-sector growth model structure in Stephen Turnovsky's work, to develop a theory that unifies two of the traditional explanations of structural change: sector-biased technical change and non-homothetic preferences.…

The exponential increase of subjective, user-generated content since the birth of the Social Web, has led to the necessity of developing automatic text processing systems able to extract, process and present relevant knowledge. In this paper, we tackle the Opinion…

This tutorial is to help you to get a better knowledge about the digital archive of the newspaper La Vanguardia.

Personalization of web sites has become an important issue in web modeling methods. Many of these methods use similar approaches to specify personalization. However even with similar (personalization) requirements the resulting implementations differ. The consequence is that we cannot reuse…

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…

Este artículo presenta la aplicación de un sistema general de Extracción de Información desarrollado para extraer conocimiento conceptual y factual de textos al dominio específico de la biomedicina. El sistema, previamente desarrollado durante el proyecto KYOTO, está basado en reglas,…

Virtual and remote laboratories(VRLs) are e-learning resources which enhance the accessibility of experimental setups providing a distance teaching framework which meets the student's hands-on learning needs. In addition, online collaborative communication represents a practical and a constructivist method to transmit…

In the present paper I describe the conceptual level of representation of a database, currently in development, which aims at fulfilling the Functional-Lexematic model. I will concentrate on the semantic component, as it is central for the theory of Functional…

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…

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…