AnnoMI: Annotated Counselling Dialogues

Research on natural language processing approaches to analysing counselling dialogues has seen substantial development in recent years, but access to this area remains extremely limited, due to the lack of publicly available expert-annotated therapy conversations. In this paper, we introduce AnnoMI, the first publicly and freely accessible dataset of professionally transcribed dialogues demonstrating high- and low-quality motivational interviewing (MI), an effective counselling technique, with annotations on key MI aspects by domain experts.

@inproceedings{wu2022anno,
  title={Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues},
  author={Wu, Zixiu and Balloccu, Simone and Kumar, Vivek and Helaoui, Rim and Reiter, Ehud and Recupero, Diego Reforgiato and Riboni, Daniele},
  booktitle={ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={6177--6181},
  year={2022},
  organization={IEEE}
}