PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Cluster analysis of railway directory inquire dialogs
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Linguistic Models Construction and Analysis for Satisfaction Estimation
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
A politeness recognition tool for Hindi: with special emphasis on online texts
Proceedings of the 20th international conference companion on World wide web
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Automatic classification of dialogues between clients and a service center needs a preliminary dialogue parameterization. Such a parameterization is usually faced with essential difficulties when we deal with politeness, competence, satisfaction, and other similar characteristics of clients. In the paper, we show how to avoid these difficulties using empirical formulae based on lexical-grammatical properties of a text. Such formulae are trained on given set of examples, which are evaluated manually by an expert(s) and the best formula is selected by the Ivakhnenko Method of Model Self-Organization. We test the suggested methodology on the real set of dialogues from Barcelona railway directory inquiries for estimation of passenger's politeness.