Abstract
Cluster analysis of dialogs with transport directory service allows revealing the typical scenarios of dialogs, which is useful for designing automatic dialog systems. We show how to parameterize dialogs and how to control the process of clustering. The parameters include both data of transport service and features of passenger s behavior. Control of clustering consists in manipulating the parameter s weights and checking stability of the results. This technique resembles Makagonov s approach to the analysis of dweller s complaints to city administration. We shortly describe B. Stein s new MajorClust method and demonstrate its work on real person-to-person dialogs provided by Spanish railway service.
Work done under partial support of the Government of Valencia, Mexican Government (CONACyT), R2D2 CICYT (TIC2003-07158-C04-03), and ICT EU-India (ALA/95/23/2003/077-054).
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Alexandrov, M., Sanchis Arnal, E., Rosso, P. (2005). Cluster Analysis of Railway Directory Inquire Dialogs. In: Matoušek, V., Mautner, P., Pavelka, T. (eds) Text, Speech and Dialogue. TSD 2005. Lecture Notes in Computer Science(), vol 3658. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551874_50
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DOI: https://doi.org/10.1007/11551874_50
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