Abstract
Since the design and acquisition of a new dialog corpus is a complex task, new methods to facilitate this task are necessary. In this paper, we present a methodology to make use of our previous work within the framework of dialog systems in order to acquire a dialog corpus for a new domain. The main idea is the simulation of recognition and understanding errors in the acquisition of the new dialog corpus. This simulation is based on the analysis of such errors in a previously acquired corpus and the definition of a correspondence table among the concepts and attributes of both tasks. This correspondence table is based on the similarity of semantic meaning and frequencies. Finally, the application of this methodology is illustrated in some examples.
This work has been partially supported by the Spanish Government and FEDER under contract TIN2005-08660-C04-02, and by the Vicerrectorado de Innovación y Desarrollo of the Universidad Politécnica de Valencia under contract 4681.
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Garcia, F., Hurtado, L.F., Griol, D., Castro, M., Segarra, E., Sanchis, E. (2007). Recognition and Understanding Simulation for a Spoken Dialog Corpus Acquisition. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2007. Lecture Notes in Computer Science(), vol 4629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74628-7_74
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DOI: https://doi.org/10.1007/978-3-540-74628-7_74
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