El objetivo del trabajo es subrayar la peculiaridad cartesiana y lo revolucionario de su propuesta al proponer estudiar las pasiones humanas de manera científica; como el propio autor lo afirma en la obra sobre el tema, al declarar que su…

Afin de mieux comprendre l'évolution des étoiles jeunes, nous avons utilisé un code Monte Carlo simulant leur environnement afin d'étudier une nouvelle distribution chez les étoiles Herbig Ae/Be et pour reproduire des cartes d'intensité et de polarisation linéaire obtenues au…

This paper examines the issues and the solutions that have been studied in database (DB) integration research and tries to draw lessons from them for knowledge base (KB) integration.

This report shows how knowledge about the visual world can be built into a shape representation in the form of a descriptive vocabulary making explicit the important geometrical relationships comprising objects' shapes. Two computational tools are offered: (1) Shapestokens are…

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The Listener is an automated system that unintrusively performs knowledge acquisition from informal input. The Listener develops a coherent internal representation of a description from an initial set of disorganized, imprecise, incomplete, ambiguous, and possibly inconsistent statements. The Listener can…

This manual is intended to be a guide to the philosophy and use of the programming language CONNIVER, which is "complete," and running at the AI Lab now. It assumes good knowledge of LISP, but no knowledge of Micro-Planner, in…

Este artículo muestra un método para la marcación automática de emociones
(EmoTag) en textos en lengua inglesa, prestando especial atención a la utilización de un analizador de dependencias (MINIPAR) para la localización de las
palabras implicadas en las negaciones. De…

Anaesthetists are a group of doctors who are at a higher occupational risk of contracting blood borne infections as they perform many invasive procedures. Practice of Universal Precautions (UP) is vital in reducing the risk of transmission. The objective of…

Current approaches to generation for machine translation make use of direct-replacement templates, large grammars, and knowledge-based inferencing techniques. Not only are rules language-specific, but they are too simplistic to handle sentences that exhibit more complex phenomena. Furthermore, these systems are…