Following this line of work, this paper presents the development of a counseling dataset that can be used to implement data-driven methods for the automatic evaluation of counseling quality.
we conduct several linguistically inspired analyses on high-quality and low-quality counseling interactions with the final goal of providing insights into conversational strategies used by good counselors.