IEEE Intelligent Systems · 2007 · 13 citations · 9 references
ComputingComputer ScienceMeteorologyComputational LinguisticsInformation RetrievalNatural Language ProcessingConversational InterfacesConversational User InterfacesDialogue SystemsLanguage ModelingQuestion AnsweringWord Sense DisambiguationBayesian NetworksBayesian Neural NetworksConversational AgentsDialog SystemsInteractive Dialogue SystemsNatural Language InferenceNatural Language InterfacesPlan Recognition
When you've called a voice portal for any kind of information retrieval, chances are that an automated system guided the entire interaction. It might have correctly identified your goal, but probably only after asking too many questions. MeteoBayes is a meteorological information dialogue system that lets you use natural language to direct the interaction. Based on Bayesian networks, MeteoBayes' inference engine attempts to identify user intentions by consulting its past dialogue repository. For unfamiliar words, MeteoBayes has an unknown-term disambiguation module that learns word similarities from texts to avoid unnecessary system inquiries, thus speeding up the understanding process
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