Perspectivas de la educación popular del campo en América Latina: un diálogo Brasil-Nicaragua

Un método para el tratamiento de situaciones no vistas en la gestión del diálogo

This paper presents an approach to manage unseen situations in a stochastic dialog manager. We model the problem of coverage as a classification problem. This system has been developed in the DIHANA project, whose goal is the design and development of a dialog system to access a railway information system using spontaneous speech in Spanish. We present and evaluate several approaches for the de...

Análisis del Éxito de las Adopciones de Sistemas ERP: Un estudio empírico en América Latina utilizando Modelamiento SEM

Explorando la Influencia del Género en la Percepción y Adopción de e-Learning en Alumnos de Educación Superior en Chile

The main objective of this study is to examine gender differences and technology acceptances from tertiary education students from Chile. The TAM model is the tool used to measure the acceptance and use of e-learning of respondents. Partial Least Squares (PLS) was used, specifically, multi-group PLS analysis was used to compare between-group differences. In summary, we can affirm that in a samp...

Gestión de la identidad de locutor y perfiles de usuario en un sistema de diálogo

In this paper we present an approach to capture user preferences during their interactions with a spoken dialogue system (SDS) and to exploit these preferences into the dialogue manager module. We use the output of an unsupervised speaker identification module and a natural language understanding module to adapt the behaviour of the SDS to each particular user by developing a statistic analysis...

Verificación de tema en sistemas de diálogo mediante la aplicación de un test de hipótesis bayesiano

One of the most difficult aspects of any dialogue system is the identification of user intention and recognition errors. In this paper, we present a novel approach to the task of deciding what the user has said and what she wants to do next. We use statistic classifiers driven by confidence measures which are generated in parallel by several topic-adapted speech recognizers. This approach has s...