Abstract
This position paper is an overview of author’s main research interests and work considering deep learning techniques in audio classification, sign languages, and multimodality in dialogue systems. Author also shares her opinion on current and future research considering dialogue agents, and suggests topics for discussion panels.- Anthology ID:
- 2023.yrrsds-1.12
- 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:
- 35–36
- Language:
- URL:
- https://aclanthology.org/2023.yrrsds-1.12
- DOI:
- Cite (ACL):
- Iwona Christop. 2023. Exploring the Synergy of Deep Learning and Anthropomorphism in Multimodal Dialogue Systems. In Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems, pages 35–36, Prague, Czechia. Association for Computational Linguistics.
- Cite (Informal):
- Exploring the Synergy of Deep Learning and Anthropomorphism in Multimodal Dialogue Systems (Christop, YRRSDS-WS 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/2023.yrrsds-1.12.pdf