Abstract
Research on natural language processing for counselling dialogue analysis 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 work, we introduce AnnoMI, the first publicly and freely accessible dataset of professionally transcribed and expert-annotated therapy dialogues. It consists of 133 conversations that demonstrate high- and low-quality motivational interviewing (MI), an effective counselling technique, and the annotations by domain experts cover key MI attributes. We detail the data collection process including dialogue selection, transcription and annotation. We also present
analyses of AnnoMI and discuss its potential applications
conversations. In this work, we introduce AnnoMI, the first publicly and freely accessible dataset of professionally transcribed and expert-annotated therapy dialogues. It consists of 133 conversations that demonstrate high- and low-quality motivational interviewing (MI), an effective counselling technique, and the annotations by domain experts cover key MI attributes. We detail the data collection process including dialogue selection, transcription and annotation. We also present
analyses of AnnoMI and discuss its potential applications
Original language | English |
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Title of host publication | ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Publisher | IEEE Explore |
Pages | 6177-6181 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-6654-0540-9 |
ISBN (Print) | 978-1-6654-0541-6 |
DOIs | |
Publication status | Published - 27 Apr 2022 |
Event | IEEE ICASSP 2022: IEEIEEE International Conference on Acoustics, Speech and Signal Processing - In-person conference at Singapore or China, streamed for virtual participation, China Duration: 22 Mar 2022 → 27 Mar 2022 https://2022.ieeeicassp.org/ |
Publication series
Name | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Publisher | IEEE |
ISSN (Print) | 1520-6149 |
ISSN (Electronic) | 2379-190X |
Conference
Conference | IEEE ICASSP 2022 |
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Country/Territory | China |
Period | 22/03/22 → 27/03/22 |
Internet address |
Bibliographical note
This work has been funded by the EC in the H2020 Marie Skłodowska-Curie PhilHumans project, contract no. 812882. We would also like to thank Dr. Mark Aloia for his guidance and support.Keywords
- Counselling
- Motivational Interviewing
- Dialogue
- Natural Language Processing
- Dataset