Paper: Learning Dialog Act Processing

ACL ID C96-2125
Title Learning Dialog Act Processing
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1996

In this paper we describe a new approach for learning dialog act processing. In this approach we integrate a symbolic se- mantic segmentation parse,: with a learn- ing dialog act network. In order to sup- port the unforeseeable errors and varia- tions of spoken language we have con- centrated on robust data-driven learn- ing. This approach already compares fa- vorably with the statistical average plan- sibility method, produces a segmenta- tion and dialog act assignment for all utteranccs in a robust manner, and re- daces knowledge engineering since it can be bootstrapped from rather small cor- pora. Therefore, we consider this new approach as very promising for learning dialog act processing.