In this paper, we proposed an example-based approach aiming at recovering ill-formed inputs to improve robustness of spoken dialogue systems. In this approach, a treebank, which contains example sentences and their correct parse trees, is used to provide clues for fixing the errors of ill-formed inputs. Particularly, the proposed error recovery method is suitable for spoken dialogue application because of computationally efficiency. In addition, when evaluated in a Mandarine spoken dialogue system, the proposed method has shown to improve the system's understaning rate very significantly.
Cite as: Chiang, T.-H., Lin, Y.-C. (1999) Error recovery for robust language understanding in spoken dialogue systems. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 2007-2010, doi: 10.21437/Eurospeech.1999-443
@inproceedings{chiang99_eurospeech,
author={Tung-Hui Chiang and Yi-Chung Lin},
title={{Error recovery for robust language understanding in spoken dialogue systems}},
year=1999,
booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
pages={2007--2010},
doi={10.21437/Eurospeech.1999-443}
}