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BACKGROUND The length of hospital stay (LOS) for community-acquired pneumonia (CAP) varies considerably, even though this factor has a major impact on the cost of care. We aimed to determine whether the use of a 3-step critical pathway is safe and effective in reducing duration of intravenous antibiotic therapy and length of stay in hospitalized patients(More)
In this paper we propose an algorithm to learn statistical language understanding models from a corpus of unaligned pairs of sentences and their corresponding semantic representation. Specifically, it allows to automatically map variable-length word segments with their corresponding semantic units and thus, the decoding of user utterances to their(More)
In this paper we present a algorithm for the statistical learning of semantic models, based on a corpus of unaligned pairs of sentences and semantic representations in terms of frames. The objective is automatically associate variable-length segments with their corresponding semantic labels to be used in speech understanding tasks. One advantage of this(More)
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