Controlling Emotion Intensity and Blending in Text via Task Vector Composition for Dialog System Personalization
Ryota Amano, Kazuya Mera, Yoshiaki Kurosawa, Toshiyuki Takezawa
- Anthology ID:
- 2025.paclic-1.45
- Volume:
- Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
- Month:
- December
- Year:
- 2025
- Address:
- Hanoi, Vietnam
- Editors:
- Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Nguyen T.M. Huyen, Le Thanh Huong, Pham Hien, Emmanuele Chersoni, Le Minh Nguyen, Rachel Edita Oñate Roxas, Sherly Dita
- Venue:
- PACLIC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 490–499
- Language:
- URL:
- https://preview.aclanthology.org/fix-opsupmap-display/2025.paclic-1.45/
- DOI:
- Cite (ACL):
- Ryota Amano, Kazuya Mera, Yoshiaki Kurosawa, and Toshiyuki Takezawa. 2025. Controlling Emotion Intensity and Blending in Text via Task Vector Composition for Dialog System Personalization. In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, pages 490–499, Hanoi, Vietnam. Association for Computational Linguistics.
- Cite (Informal):
- Controlling Emotion Intensity and Blending in Text via Task Vector Composition for Dialog System Personalization (Amano et al., PACLIC 2025)
- PDF:
- https://preview.aclanthology.org/fix-opsupmap-display/2025.paclic-1.45.pdf