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In this paper, we present a sentence simplification method and demonstrate its use to improve intent determination and slot filling tasks in spoken language understanding (SLU) systems. This research is motivated by the observation that, while current statistical SLU models usually perform accurately for simple, well-formed sentences, error rates increase for more complex, longer, more natural or...
Accurate retrieval of entries from large directories is a difficult task. Practical systems attempt to achieve acceptable performance using dialog to restrict the size of the directory. For instance, knowledge of city and state can be used to restrict the entries in a telephone number retrieval application. It is shown that it is advantageous to use a voice form-filling paradigm in which the user...
This work proposes a way to integrate an information retrieval (IR) system with an automatic speech recognition (ASR) engine to support natural spoken queries. A broader interaction between the two modules is achieved by transmitting a lattice of terms to the IR system. This is in contrast with conventional systems where only the best-path recognition output is transmitted. Acoustic scores associated...
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