Too Long; Didn't Read

Discover the scarcity of free-text human feedback annotations in existing dialog datasets and witness a paradigm shift in error taxonomies within conversational AI. This article examines six prominent datasets, critiques current taxonomies, and introduces a more versatile error classification system. Uncover the nuances of user responses and explore the boundaries of error taxonomy in AI dialog systems.

L O A D I N G
. . . comments & more!