Contextual semantic processing for a Spanish dialogue system using Markov logic
Por:
Fabian A., Hernandez M., Pineda L., Meza I.
Publicada:
1 ene 2011
Resumen:
Semantic processing is vital in a dialogue system for the language understanding stage. Recent approaches of semantic processing rely on machine learning methods to perform the task. These are more robust to errors from the speech recogniser. Although these approaches are built on the domain of the dialogue system they do not incorporate contextual information available in the dialogue system. In this paper, we explore the use of contextual information in the form of expectations of a dialogue system to perform semantic processing in a Spoken Dialogue System. We show the benefits on doing so, and propose a Markov Logic model which incorporates such information. © 2011 Springer-Verlag.
Filiaciones:
Fabian A.:
Instituto de Computación, Universidad Tecnológica de la Mixteca (UTM), México, Mexico
Hernandez M.:
Instituto de Computación, Universidad Tecnológica de la Mixteca (UTM), México, Mexico
Pineda L.:
Instituto de Investigaciones en Matemáticas Aplicadas Y en Sistemas (IIMAS), Universidad Nacional Autónoma de México (UNAM), México, Mexico
Meza I.:
Instituto de Investigaciones en Matemáticas Aplicadas Y en Sistemas (IIMAS), Universidad Nacional Autónoma de México (UNAM), México, Mexico
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