Measuring Conversational Fluidity in Automated Dialogue Agents

Published 25 Oct 2019 in cs.CL | (1910.11790v1)

Abstract: We present an automated evaluation method to measure fluidity in conversational dialogue systems. The method combines various state of the art Natural Language tools into a classifier, and human ratings on these dialogues to train an automated judgment model. Our experiments show that the results are an improvement on existing metrics for measuring fluidity.

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