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…

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…

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…

En el presente trabajo se recogen las reglas de formación y los criterios de aplicación que se deberían llevar a cabo en cada situación para permitir la identificación automatizada de uno de los procesos de formación de palabras que tiene…