Improving the Quality of Minority Class Identification in Dialog Act Tagging
نویسندگان
چکیده
We present a method of improving the performance of dialog act tagging in identifying minority classes by using per-class feature optimization and a method of choosing the class based not on confidence, but on a cascade of classifiers. We show that it gives a minority class F-measure error reduction of 22.8%, while also reducing the error for other classes and the overall error by about 10%.
منابع مشابه
Dialog act tagging with support vector machines and hidden Markov models
We use a combination of linear support vector machines and hidden markov models for dialog act tagging in the HCRC MapTask corpus, and obtain better results than those previously reported. Support vector machines allow easy integration of sparse highdimensional text features and dense low-dimensional acoustic features, and produce posterior probabilities usable by sequence labelling algorithms....
متن کاملExploiting prosodic features for dialog act tagging in a discriminative modeling framework
Cue-based automatic dialog act tagging uses lexical, syntactic and prosodic knowledge in the identification of dialog acts. In this paper, we propose a discriminative framework for automatic dialog act tagging using maximum entropy modeling. We propose two schemes for integrating prosody in our modeling framework: (i) Syntaxbased categorical prosody prediction from an automatic prosody labeler,...
متن کاملIdentification of utterance intention in Japanese spontaneous spoken dialogue by use of prosody and keyword information
This paper describes the study on the identification of utterance intention in Japanese spontaneous dialogue. The procedure of tagging the dialog act which was labeled by hand was evaluated by the analysis of the prosodic information and keyword recognition for the dialogues of scheduling and travel arrangement domains. It was shown that the integration of prosody and keywords relevant to illoc...
متن کاملDialog Annotation for Stochastic Generation
Individuals who successfully make their livelihood by talking with others, for example travel agents, can be presumed to have optimized their language for the task at hand in terms of conciseness and intelligibility. It makes sense to exploit this effort for the purpose of building better generation components for a spoken dialog system. The Stochastic Generation technique, introduced by Oh and...
متن کاملA Semi Supervised Dialog Act Tagging for Telugu
In a task oriented domain, recognizing the intention of a speaker is important so that the conversation can proceed in the correct direction. This is possible only if there is a way of labeling the utterance with its proper intent. One such labeling techniques is Dialog Act (DA) tagging. This work focuses on discussing various n-gram DA tagging techniques. In this paper, a new method is propose...
متن کامل