This paper presents an algorithm for identifying noun phrase antecedents of third person personal
pronouns, demonstrative pronouns, reflexive pronouns, and omitted pronouns (zero pronouns)
in unrestricted Spanish texts. We define a list of constraints and preferences for different types
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…

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,…

Several surveys have indicated that many data warehouses fail to meet business objectives or are outright failures. One reason for this is that requirement engineering is typically overlooked in real projects. This paper addresses data warehouse design from a business…

Web design methodologies should be able to provide a requirements analysis stage to consider the large and heterogeneous audience of Web applications. In this stage, non-functional requirements (NFRs) should be addressed in order to improve the quality of the Web…

In this paper, a method of event ordering based on temporal information resolution is presented. This method consists of two main steps: on the one hand, the recognition and resolution of the temporal expressions that can be transformed on a…

DIANA es un proyecto coordinado en el que participan el grupo de Ingeniería del Lenguaje Natural y Reconocimiento de Formas (ELiRF) de la Universitat Politècnica de València y el grupo Centre de Llenguatge i Computació (CLiC) de la Universitat de…

In this article we describe our experience in the development of a personalizable dissemination model for the Miguel de Cervantes Digital Library’s Web-based newsletter-service, which combines adaptive with adaptable personalization techniques, being capable or ranking news according to navigation-inferred preferences…

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…