This paper evaluates the different tasks carried out in the translation of pronominal anaphora in a machine translation (MT) system. The MT interlingua approach named AGIR (Anaphora Generation with an Interlingua Representation) improves upon other proposals presented to date because…

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…

In this paper, a restricted domain question answering (QA) system is described. The design architecture of this QA system and the features that allow the adaptation of the QA system to the medical domain are also presented. The advantages of…

La inclusión de políticas de personalización en el marco de métodos hipermediales influye en todos los niveles de modelado de una aplicación web. Desde OO-H mantenemos que esta política de personalización debe facilitar la definición de aspectos no conocidos a…

La personalización de entornos ha suscitado un gran interés desde el punto de vista de los métodos de modelado conceptual de aplicaciones web. Ello es debido al efecto que tienen las políticas de personalización sobre todo el ciclo de desarrollo…

In this paper, we present SEDiL, a Software for Edit Distance Learning. SEDiL is an innovative prototype implementation grouping together most of the state of the art methods that aim to automatically learn the parameters of string and tree edit…

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…

Objetivos: Las ontologías son un recurso que permite trabajar informáticamente con la conceptualización del significado y evitar la limitación impuesta por los términos normalizados. El objetivo de este estudio es establecer el grado de usabilidad de las terminologías para el…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…