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When you've called a voice portal for any kind of information retrieval, chances are that an automated system guided the entire interaction. Perhaps it correctly identified your goal, but only after too many questions. MeteoBayes, a meteorological information dialogue system, lets users employ natural language to clarify their goals. MeteoBayes uses a Bayesian networks-based inference engine to establish user intentions by consulting its past dialogue repository. Because unknown terms are likely to come up, MeteoBayes's unknown term disambiguation module learns word similarities from texts to avoid unnecessary system inquiries, thus speeding up the understanding process.