Abstract
This paper presents a new approach to parse multiple data types in Dialogue Systems. In its initial version, our spoken dialogue systems platform had a single and generic parser. However, when developing two new systems, the parser’s complexity increased and data types, like numbers, dates and free text messages, were not correctly interpreted. The solution we present to cope with these problems allows the system to rely on expectations about the flow of the dialogue based on the dialogue history and context. Because these expectations guide the parsing process, a positive impact is achieved in the recognition of objects in the user’s utterance. However, if the user fails to match the system’s expectations, for instance by changing the focus of the conversation, the system is still capable of understanding the input and recognizing the referred objects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Neto, J.P., Mamede, N., Cassaca, R., de Oliveira, L.C.: The development of a multi-purpose spoken dialogue system. In: EUROSPEECH (2003)
Mourão, M., Cassaca, R., Mamede, N.: An independent domain dialogue system through a service manager. In: Vicedo, J.L., Martínez-Barco, P., Muńoz, R., Saiz Noeda, M. (eds.) EsTAL 2004. LNCS (LNAI), vol. 3230. Springer, Heidelberg (2004)
Martins, F., Mendes, A., Viveiros, M., Paulo Pardal, J., Arez, P., Mamede, N., Neto, J.P.: Reengineering a domain-independent framework for spoken dialogue systems. In: Proc. Software engineering, testing, and quality assurance for natural language processing, Workshop of ACL (to appear, 2008)
Allen, J., Ferguson, G., Swift, M., Stent, A., Stoness, S., Galescu, L., Chambers, N., Campana, E., Aist, G.: Two diverse systems built using generic components for spoken dialogue (recent progress on TRIPS). In: ACL Demo Sessions (2005)
Swift, M., Allen, J., Gildea, D.: Skeletons in the parser: using a shallow parser to improve deep parsing. In: COLING, ACL (2004)
Rupp, C., Spilker, J., Klarner, M., Worm, K.: Verbmobil: Foundations of Speech-to-Speech Translation. In: Verbmobil: Foundations of Speech-to-Speech Translation (2000)
Bohus, D., Raux, A., Harris, T., Eskenazi, M., Rudnicky, A.: Olympus: an open-source framework for conversational spoken language interface research. In: Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technology. HLT-NAACL (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Martins, F.M., Mendes, A., Pardal, J.P., Mamede, N.J., Neto, J.P. (2008). Using System Expectations to Manage User Interactions. In: Teixeira, A., de Lima, V.L.S., de Oliveira, L.C., Quaresma, P. (eds) Computational Processing of the Portuguese Language. PROPOR 2008. Lecture Notes in Computer Science(), vol 5190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85980-2_29
Download citation
DOI: https://doi.org/10.1007/978-3-540-85980-2_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85979-6
Online ISBN: 978-3-540-85980-2
eBook Packages: Computer ScienceComputer Science (R0)