Recently, virtual personal assistant (VPA) applications have been employed in mobile devices, which provide a natural and convenient interface between human and machines. As the VPA services become popular, consumers demand for a wider service than their scope, so the rapid development becomes more important. This paper introduces a dialog act modeling approach for VPA applications, which is an extension of a Latent Dirichlet Allocation model. This approach enables the rapid and cost-effective development by reducing human efforts for manual labeling and the development of a fail-safe product by incorporating domain knowledge such as dictionaries, cross-lingual data, and logic rules. The experimental results showed that a reliable and high-performance dialog act model was built only with a small volume of labeled data and domain knowledge.
Cite as: Lee, D., Lee, J., Kim, E.-K., Lee, J. (2015) Dialog act modeling for virtual personal assistant applications using a small volume of labeled data and domain knowledge. Proc. Interspeech 2015, 1231-1235, doi: 10.21437/Interspeech.2015-310
@inproceedings{lee15d_interspeech,
author={Donghyeon Lee and Jinsik Lee and Eun-Kyoung Kim and Jaewon Lee},
title={{Dialog act modeling for virtual personal assistant applications using a small volume of labeled data and domain knowledge}},
year=2015,
booktitle={Proc. Interspeech 2015},
pages={1231--1235},
doi={10.21437/Interspeech.2015-310}
}