Building automated systems that participate effectively in natural language conversations is one of the classic goals of research in artificial intelligence. Machine learning methods hold significant potential for addressing many of the challenges involved with these systems. This talk describes machine learning algorithms for the problem of mapping natural language sentences to representations of their underlying meaning.
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