Patent ID: 7295981
Filing Date: 2007-11-13
Classification: G10L

Abstract:
1. A method of generating a natural language understanding (NLU) model for use in a spoken dialog service, the method comprising: (a) using sample utterances, creating at least one hand crafted rule for each call-type defined in a labeling guide, wherein each call-type comprises a call category with at least one defined attribute; (b) generating and testing a first NLU model using the at least one hand crafted rule and sample utterances; (c) building a second NLU model using the sample utterances as new training data and using the at least one hand crafted rule; (d) testing the performance of the second NLU model using a first batch of labeled data; (e) building a series of NLU models by adding a previous batch of labeled data to training data and using a new batch of labeling data as test data to generate the series of NLU models with training data that increases constantly; (f) if not all the labeling data is received, repeat step (e) until all labeling data is received; and (g) after all the training data is received, at least once, building a third NLU model using all the labeling data, wherein the third NLU model is used in generating the spoken dialog service.