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pro vyhledávání: '"Zixiu Wu"'
Autor:
Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni
Publikováno v:
Future Internet, Vol 15, Iss 3, p 110 (2023)
Research on the analysis of counselling conversations through natural language processing methods has seen remarkable growth in recent years. However, the potential of this field is still greatly limited by the lack of access to publicly available th
Externí odkaz:
https://doaj.org/article/6de5b2ef7d0644399df3aa82a5572420
Publikováno v:
Interspeech 2022.
Autor:
Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Ehud Reiter, Diego Reforgiato Recupero, Daniele Riboni
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Vivek Kumar, Simone Balloccu, Zixiu Wu, Ehud Reiter, Rim Helaoui, Diego Recupero, Daniele Riboni
Publikováno v:
Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare.
Publikováno v:
Companion Publication of the 2020 International Conference on Multimodal Interaction
Empathetic response from the therapist is key to the success of clinical psychotherapy, especially motivational interviewing. Previous work on computational modelling of empathy in motivational interviewing has focused on offline, session-level asses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f750a7c4b034797dafc71b907c501c94
Publikováno v:
Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access.
Gauging therapist empathy in counselling is an important component of understanding counselling quality. While session-level empathy assessment based on machine learning has been investigated extensively, it relies on relatively large amounts of well