Abstract
This paper presents an approach to simplify the creation of spoken dialogue systems for information retrieval, by separating all the task dependent information, such as vocabulary, relationships, restrictions, dialogue structure, the minimal set of elements to construct a query, and all the information required by the Dialogue Manager (DM), Automatic Speech Recognition (ASR), Natural Language Processing (NLP), Natural Language Generation (NLG) and the application. The task related information is kept in XML files, which can be read by the different modules, depending on the kind of data each one requires to function, providing task independence and making the design of spoken dialogue systems much easier.
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Pérez, D., Kirschning, I. (2010). Tlatoa Communicator. In: Sobh, T., Elleithy, K. (eds) Innovations in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9112-3_103
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DOI: https://doi.org/10.1007/978-90-481-9112-3_103
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