Anno-Mi : A dataset of expert- annotated counselling dialogues
| dc.contributor.author | Wu, Zixiu | |
| dc.contributor.author | Balloccu, Simone | |
| dc.contributor.author | Kumar, Vivek | |
| dc.contributor.author | Helaoui, Rim | |
| dc.contributor.author | Reiter, Ehud | |
| dc.contributor.author | Reforgiato Recupero, Diego | |
| dc.contributor.author | Riboni, Daniele | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Centre for Health Data Science | en |
| dc.contributor.institution | University of Aberdeen.Computational Linguistics at Aberdeen | en |
| dc.date.accessioned | 2024-03-22T00:10:42Z | |
| dc.date.available | 2024-03-22T00:10:42Z | |
| dc.date.embargoedUntil | 2024-03-22 | |
| dc.date.issued | 2022-04-27 | |
| dc.description | 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. | en |
| dc.format.extent | 5 | |
| dc.format.extent | 166250 | |
| dc.identifier | 212804508 | |
| dc.identifier | 616e2a39-38f6-4c62-a70f-61f5f04fb799 | |
| dc.identifier | 85131259367 | |
| dc.identifier.citation | Wu, Z, Balloccu, S, Kumar, V, Helaoui, R, Reiter, E, Reforgiato Recupero, D & Riboni, D 2022, Anno-Mi : A dataset of expert- annotated counselling dialogues. in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE Explore, pp. 6177-6181, IEEE ICASSP 2022, China, 22/03/22. https://doi.org/10.1109/ICASSP43922.2022.9746035 | en |
| dc.identifier.citation | conference | en |
| dc.identifier.doi | 10.1109/ICASSP43922.2022.9746035 | |
| dc.identifier.isbn | 978-1-6654-0541-6 | |
| dc.identifier.isbn | 978-1-6654-0540-9 | |
| dc.identifier.issn | 1520-6149 | |
| dc.identifier.other | ORCID: /0000-0002-7548-9504/work/117057912 | |
| dc.identifier.uri | https://hdl.handle.net/2164/23092 | |
| dc.identifier.url | https://paperswithcode.com/paper/anno-mi-a-dataset-of-expert-annotated | en |
| dc.language.iso | eng | |
| dc.publisher | IEEE Explore | |
| dc.relation.ispartof | ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | en |
| dc.relation.ispartofseries | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing | en |
| dc.subject | Substantive connection via an eligible employment contract | en |
| dc.subject | Counselling | en |
| dc.subject | Motivational Interviewing | en |
| dc.subject | Dialogue | en |
| dc.subject | Natural Language Processing | en |
| dc.subject | Dataset | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | European Commission | en |
| dc.subject | 812882 | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Anno-Mi : A dataset of expert- annotated counselling dialogues | en |
| dc.type | Conference item | en |
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