In the present paper I describe the conceptual level of representation of a database, currently in development, which aims at fulfilling the Functional-Lexematic model. I will concentrate on the semantic component, as it is central for the theory of Functional…

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…

Este artículo presenta el diseño inicial del "Multilingual Central Repository". La primera versión del MCR integra, siguiendo en el marco de EuroWordNet, cinco wordnets locales (incluyendo tres versiones del WordNet de Princeton), la Top Ontology the EuroWordNet, los dominios de…

En este artículo se presenta el trabajo que se está realizando para la llamada
ontologización superficial de WordNet, una estructura orientada a superar muchos de los
problemas estructurales de la popular base de conocimiento léxico. El resultado esperado es un

The aim of this paper is to offer a functionally-motivated text typology framework which can serve as a basis for the description, comparison and classification of a wide variety of texts for generation purposes. For this task, we have adopted…

En este trabajo se investigan nuevas distancias entre fonemas y entre palabras que se
han usado para predecir si dos palabras del vocabulario de un sistema de reconocimiento del
habla se van a confundir o no. La distancia entre palabras…

The construction of expert problem-solving systems requires the development of techniques for using modular representations of knowledge without encountering combinatorial explosions in the solution effort. This report describes an approach to dealing with this problem based on making some knowledge…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

This paper presents a knowledge-based approach for capturing data and rationale, so
that the experience and insights gained while pursuing a major project or endeavor can
be utilized when pursuing future endeavors of a similar nature. The proposed

We examine a knowledge representation architecture to support context interchange
mediation. For autonomous receivers and sources sharing a common subject domain,
the mediator's reasoning engine can devise query plans integrating multiple sources and
resolving semantic heterogeneity. Receiver…