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Spoken dialogue information retrieval applications are the future trend for mobile users in automobiles, on cellular phones, etc. Due to the limitation of resources in these platforms, it may be advantageous to extract speech features, and compress and transmit them to a central hub where the computation intensive tasks such as speech recognition and speech(More)
In this paper we argue that conversational dialog systems must model a multidimensional space defined by syntactico-semantic, circumstantial, and interactional dimensions. We take as a test-case the interpretation of a very simple query type within a conversational navigation system that we have implemented. We outline the decision logic this system follows(More)
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