Abstract
A brief introduction to author’s keyinterests and research topics which are: multimodal dialogue systems and impact of data augmentation to NLU performance. In addition to that the author shares his biography and view on the future of dialogue assistants.- Anthology ID:
- 2023.yrrsds-1.17
- 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:
- 47–48
- Language:
- URL:
- https://aclanthology.org/2023.yrrsds-1.17
- DOI:
- Cite (ACL):
- Mikołaj Krzymiński. 2023. Take the Most out of Text Data Augmentation Strategies For Intent Clustering And Induction Based on DSTC 11 Track 2. In Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems, pages 47–48, Prague, Czechia. Association for Computational Linguistics.
- Cite (Informal):
- Take the Most out of Text Data Augmentation Strategies For Intent Clustering And Induction Based on DSTC 11 Track 2 (Krzymiński, YRRSDS-WS 2023)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2023.yrrsds-1.17.pdf