Modelling Emotions in Task-Oriented Dialogue

Shutong Feng


Abstract
My research interests lie in the area of modelling natural and human-like conversations, with a special focus on emotions in task-oriented dialogue (ToD) systems. ToD systems need to produce semantically and grammatically correct responses to fulfil the user’s goal. Being able to perceive and express emotions pushes them one more step towards achieving human-likeness. To begin with, I constructed a dataset with meaningful emotion labels as well as a wide coverage of emotions and linguistic features in ToDs. Then, I improved emotion recognition in conversations (ERC) in the task-oriented domain by exploiting key characteristics of ToDs. Currently, I am working towards enhancing ToD systems with emotions.
Anthology ID:
2023.yrrsds-1.20
Volume:
Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems
Month:
September
Year:
2023
Address:
Prague, Czechia
Editors:
Vojtech Hudecek, Patricia Schmidtova, Tanvi Dinkar, Javier Chiyah-Garcia, Weronika Sieinska
Venues:
YRRSDS | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
54–56
Language:
URL:
https://aclanthology.org/2023.yrrsds-1.20
DOI:
Bibkey:
Cite (ACL):
Shutong Feng. 2023. Modelling Emotions in Task-Oriented Dialogue. In Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems, pages 54–56, Prague, Czechia. Association for Computational Linguistics.
Cite (Informal):
Modelling Emotions in Task-Oriented Dialogue (Feng, YRRSDS-WS 2023)
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PDF:
https://aclanthology.org/2023.yrrsds-1.20.pdf