Paper: Improving the Quality of Minority Class Identification in Dialog Act Tagging

ACL ID N13-1099
Title Improving the Quality of Minority Class Identification in Dialog Act Tagging
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

We present a method of improving the perfor- mance of dialog act tagging in identifying mi- nority classes by using per-class feature opti- mization and a method of choosing the class based not on confidence, but on a cascade of classifiers. We show that it gives a minor- ity class F-measure error reduction of 22.8%, while also reducing the error for other classes and the overall error by about 10%.