Model moves computers closer to understanding human conversation
This story originally appeared in the Hub. 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 dialogues outputted by language understanding, or LU, systems in an approach that could eventually help computers “understand” spoken or written text in much […]