Este artículo estudia el impacto de los errores ortográficos en las consultas sobre el rendimiento de los sistemas de recuperación de información multilingüe, proponiendo dos estrategias para su tratamiento: el empleo de técnicas de corrección ortográfica automática y la utilización…

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…

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…

When training hidden-Markov-model-based part-of-speech (PoS) taggers involved in machine translation systems in an unsupervised manner the use of target-language information has proven to give better results than the standard Baum-Welch algorithm. The target-language-driven training algorithm proceeds by translating every possible…

La finalidad del proyecto INVOCA, es el desarrollo de una interfaz de consulta en lenguaje natural para acceder a las distintas bases de conocimiento disponibles actualmente en la Web mediante la ”Linked Open Data”. Este proyecto ha sido desarrollado conjuntamente…

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…

MaltOptimizer es una herramienta capaz de proporcionar una optimización para modelos generados mediante MaltParser. Los analizadores de dependencias actuales requieren una completa configuración para obtener resultados a la altura del estado del arte, y para ello es necesario un conocimiento…

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…

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…

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.…