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—Query relaxation refers to the process of reducing the number of constraints on a query if it returns no result when searching a database. This is an important process to enable extraction of an appropriate number of query results because queries that are too strictly constrained may return no result, whereas queries that are too loosely constrained may(More)
This paper proposes a method to model confirmations for example-based dialog management. To enable the system to provide a confirmation to the user in an appropriate time, we employed a multiple dialog state representation approach for keeping track of user input uncertainty and implemented a confirmation agent which decides when the information gathered(More)
Error handling has become an important issue in spoken dialog systems. We describe an example-based approach to detect and repair errors in an example-based dialog model-ing framework. Our approach to error recovery is focused on the re-phrase strategy with a system and a task guidance to help the novice users to re-phrase well-recognizable and(More)
This paper proposes an unsupervised spoken language understanding (SLU) framework for a multi-domain dialog system. Our unsupervised SLU framework applies a non-parametric Bayesian approach to dialog acts, intents and slot entities, which are the components of a semantic frame. The proposed approach reduces the human effort necessary to obtain a(More)
In this paper, we introduce our counseling dialog system. Our system interacts with users by recognizing what the users say, predicting the context, and following the users " feelings. For this interaction, our system follows three basic counseling techniques: paraphrasing, asking open questions, and reflecting feelings. To follow counseling techniques, we(More)
In data-driven spoken dialog system development, developers should prepare a dialog corpus with semantic annotation. However, the labeling process is a laborious and time consuming task. To reduce human efforts, we propose an unsupervised approach based on non-parametric Bayesian Hidden Markov Model to the problem of modeling user actions. With the(More)