ESCA Workshop on Spoken Dialogue Systems Vigsø, Denmark May 30 - June 2, 1995

Automatic Learning of Sentence Dependencies in Spoken Dialogues

Mauro Cettolo (1), Anna Corazza (1), Renato De Mori (2)

(1) IRST-Istituto per la Ricerca Scientifica e Tecnologica, Povo, Trento, Italy
(2) School of Computer Science, McGill University, Montreal, Quebec, Canada

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.

Full Paper

Bibliographic reference.  Cettolo, Mauro / Corazza, Anna / Mori, Renato De (1995): "Automatic learning of sentence dependencies in spoken dialogues", In SDS-1995, 77-80.