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…

Introducimos una propuesta en recuperación de información basada en
la consideración de recursos sintácticos y semánticos complejos y automáticamente
generados a partir de la propia colección documental. Se describe una estrategia
donde el lenguaje y el dominio de documentos son…

This paper presents the automatic extension to other languages of TERSEO, a knowledge-based system for the recognition and normalization of temporal expressions originally developed for Spanish. TERSEO was first extended to English through the automatic translation of the temporal expressions.…

In this paper we present a method to automatically identify linguistic contexts which contain possible causes of emotions or emotional states from Italian newspaper articles (La Repubblica Corpus). Our methodology is based on the interplay between relevant linguistic patterns and…

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…

Adaptive websites usually change as effect of user navigational actions. Most current web engineering approaches (which consider personalization) allow to detect basic user browsing behaviour (e.g. user click on a link) but don’t consider the definition of (complex) behaviour events…

The analysis of changes in land cover and land use over time as sources of information and geographical diagnosis at a regional scale, is primary to improving knowledge of land cover and land use modelling in Mediterranean environments. The study…

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…

In this paper, a human action recognition method is presented in which pose representation is based on the contour points of the human silhouette and actions are learned by making use of sequences of multi-view key poses. Our contribution is…