Model moves computers closer to understanding human conversation

An engineer from the Johns Hopkins Center for Language and Speech Processing has developed a machine learning model that can distinguish functions of speech in transcripts of dialogs outputted by language understanding, or LU, systems in an approach that could eventually help computers “understand” spoken or written text in much the same way that humans do.

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