Most Natural Language Processing (NLP) systems traditionally use a sequential architecture that represents the classical linguistic levels (lexical-morphological, syntactical, semantic, etc.), but they claim for huge and monolithic modules, that make the backtracking among such modules difficult. By using a…

This paper focuses on the general problem of the lexical bottleneck and, in particular, on the issues of semantic clustering and disambiguation by means of word usage cues obtained from sublanguage-specific corpora. Our approaches combines the use of numerical techniques…

This work presents the main theories and models formulated with the purpose of offering a global overview on the acquisition of knowledge and skills involved in the initial development of expert competence. Setting from this background, we developed an empirical…

We develop a theory to explain the transition from stagnation to modern growth. We focus on the forces that shaped the evolution of total factor productivity in agriculture and manufacturing across history. More specifically, we build a multisector model of…

Diagnosis is an important process in patient care. A suitable diagnosis helps a physician determine a precise treatment. Physicians also have a tendency to seek collaboration from other colleagues and expert systems for better confidence in their decision. The sources…

Objective: The present study evaluates eating habits and behaviors, and nutritional and food safety knowledge of a group of Albanian adolescents. Design: A dietary questionnaire previously constructed and tested was self-administered during school time. Each section was evaluated using a…

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…

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…

Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those…

Heterogeneous azeotropic distillation is a widely used technique to separate binary azeotropic mixtures into their components. One of its most important applications is the dehydration of ethanol, which is blended with gasoline to obtain automobile fuel. Among all the compounds…