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…

Aquesta investigació s’emmarca en el context del projecte de recerca per a la “Promoció exterior de la llengua, la literatura i la cultura valenciana a través de diferents programes d'actuacions” [IVITRA-UA/Acadèmia Valenciana de la Llengua (ACADEMIAVALENCIANA2-05N)]. A més, també se…

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…

2007

Cultural resources like traditional medicinal knowledge need to be recognized in their role tied to important regional practices in Zimbabwe. This is especially as a nexus of legal definitions for biological, intellectual and cultural resources will inform a National Sui…

This dissertation addresses the issues pertaining to composite products (CPs). CPs are defined as products formed by combining knowledge from two distinct domains, for example, digital cameras, which combine knowledge from digital products and cameras. The three research questions addressed…

The Intellectual Creation Diffusion Service (SeDiCI) of the UNLP was created with the main objective of communicating to the society all the knowledge acquired in different academic fields of our university. This is how we can return all the efforts…

This paper presents a proposal for an architecture that integrates knowledge discovery systems (automatic acquisition) and knowledge based systems (experts systems). This work formulates considerations over the viability of the implementation of this architecture according to the advance of the…

Introduction: The use of computer-generated 3-dimensional (3-D) anatomical models to teach anatomy has proliferated. However, there is little evidence that these models are educationally effective. The purpose of this study was to test the educational effectiveness of a computer-generated 3-D…

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…