This paper describes a natural language system START. The system analyzes English text and automatically transforms it into an appropriate representation, the knowledge base, which incorporates the information found in the text. The user gains access to information stored in…

To determine why something has stopped working, it is useful to know how it was supposed to work in the first place. That simple observation underlies some of the considerable interest generated in recent years on the topic of model-based…

Combining numerical techniques with ideas from symbolic computation and with methods incorporating knowledge of science and mathematics leads to a new category of intelligent computational tools for scientists and engineers. These tools autonomously prepare simulation experiments from high-level specifications of…

Los cambios ocurridos en el
mundo contemporáneo afectan todos
los órdenes de la vida individual y
colectiva en una sociedad determinada,
caracterizada por mutaciones complejas
que propenden a crear incertidumbre
sobre normas, costumbres, valores y
procesos establecidos. Estas urgencias
plantean…

In this paper, we present an approach to student's evaluation in a well-defined domain based on a semantic network. A similarity matrix based on the semantic memory structure of humans is used to build a semantic distance model in order…

This study was designed to examine the ability to use prior knowledge in text comprehension and knowledge integration. The focus of the research was on effects of different degrees of subjects' theoretical knowledge in the domain of biochemistry on their…

This study investigated the underlying factor structure of second language (L2) cloze test performance as explained by a theoretical model including the following hypothetical constructs: cloze-taking ability, knowledge of language, knowledge of text content, and knowledge of contextual constraints. Eight…

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