Most Natural Language Processing (NLP) systems traditionally use a sequential architecture that represents the classical linguistic levels (lexical-morphological, syntactical, semantic, etc.), but they claim for huge and monolithic modules, that make the backtracking among such modules difficult. By using a…

The purpose of the study was to investigate whether teachers’ knowledge of student assessment was influenced by their gender and if it was related to their teaching experience (years in education). One hundred and twenty six physical education teachers (n=126)…

This paper focuses on the general problem of the lexical bottleneck and, in particular, on the issues of semantic clustering and disambiguation by means of word usage cues obtained from sublanguage-specific corpora. Our approaches combines the use of numerical techniques…

El trabajo analiza la incorporación de medios tecnológicos, en particular la radio, en el proceso de divulgación del conocimiento sobre la salud infantil durante la Segunda República española. En el marco de la campaña sanitaria contra la mortalidad infantil que…

In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is encoded in parametric eigenspaces. Learning processes for compute modal subspaces (eigenspaces) are the…

We develop a theory to explain the transition from stagnation to modern growth. We focus on the forces that shaped the evolution of total factor productivity in agriculture and manufacturing across history. More specifically, we build a multisector model of…

Tennis is a sport that is characterized by intermittent dynamics, with intervallic moderate and high-intensity efforts due to repetitive actions of short-duration and high intensity. This review analyzes aspects such as the game's temporal structure, oxygen consumption, heart rate, lactate…

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 article documents the operation of multimodal and rhetorical strategies in cosmetic surgery leaflets, with a focus on the interplay between the verbal and visual channels. It describes how advertising discourse exploits the image of an idealized female body in…

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…