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://aclanthology.org/2025.paclic-1.45/
DOI:
Bibkey:
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)
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PDF:
https://aclanthology.org/2025.paclic-1.45.pdf