Abstract
To construct a chat-oriented dialogue system that will be used for a long time by users, it is important to build a good relationship between the user and the system. To achieve a good relationship, several methods for remembering and utilizing information on users (preferences, experiences, jobs, etc.) in system utterances have been investigated. One way to do this is to utilize user information to fill in utterance templates for use in response generation, but the utterances do not always fit the context. Another way is to use neural-based generation, but in current methods, user information can be incorporated only when the current dialogue topic is similar to that of the user information. This paper tackled these problems by constructing a novel corpus to incorporate arbitrary user information into system utterances regardless of the current dialogue topic while retaining appropriateness for the context. We then fine-tuned a model for generating system utterances using the constructed corpus. The result of a subjective evaluation demonstrated the effectiveness of our model. Furthermore, we incorporated our fine-tuned model into a dialogue system and confirmed the effectiveness of the system through interactive dialogues with users.- Anthology ID:
- 2024.lrec-main.811
- Volume:
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
- Venues:
- LREC | COLING
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 9285–9295
- Language:
- URL:
- https://aclanthology.org/2024.lrec-main.811
- DOI:
- Cite (ACL):
- Yuiko Tsunomori and Ryuichiro Higashinaka. 2024. I Remember You!: SUI Corpus for Remembering and Utilizing Users’ Information in Chat-oriented Dialogue Systems. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 9285–9295, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- I Remember You!: SUI Corpus for Remembering and Utilizing Users’ Information in Chat-oriented Dialogue Systems (Tsunomori & Higashinaka, LREC-COLING 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.811.pdf