This paper describes a strategy followed by the dialogue manager of a database inquiry system to assess the reliability of input utterances. For this purpose, binary classification trees are used, in such a way that the assessment capability can be automatically learnt from samples. As a starting point, training of such trees for classification of ATIS-3 sentences in terms of A, D and X classes was done; experimental results show that this assessment technique can be effectively exploited and integrated into the dialogue manager under development

Automatic Learning of Sentence Dependencies in Spoken Dialogues

Cettolo, Mauro;
1995-01-01

Abstract

This paper describes a strategy followed by the dialogue manager of a database inquiry system to assess the reliability of input utterances. For this purpose, binary classification trees are used, in such a way that the assessment capability can be automatically learnt from samples. As a starting point, training of such trees for classification of ATIS-3 sentences in terms of A, D and X classes was done; experimental results show that this assessment technique can be effectively exploited and integrated into the dialogue manager under development
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/225
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