Abstract
Identifying relevant persona or knowledge for conversational systems is critical to grounded dialogue response generation. However, each grounding has been mostly researched in isolation with more practical multi-context dialogue tasks introduced in recent works. We define Persona and Knowledge Dual Context Identification as the task to identify persona and knowledge jointly for a given dialogue, which could be of elevated importance in complex multi-context dialogue settings. We develop a novel grounding retrieval method that utilizes all contexts of dialogue simultaneously. Our method requires less computational power via utilizing neural QA retrieval models. We further introduce our novel null-positive rank test which measures ranking performance on semantically dissimilar samples (i.e. hard negatives) in relation to data augmentation.- Anthology ID:
- 2023.emnlp-main.1020
- Volume:
- Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Month:
- December
- Year:
- 2023
- Address:
- Singapore
- Editors:
- Houda Bouamor, Juan Pino, Kalika Bali
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 16383–16395
- Language:
- URL:
- https://aclanthology.org/2023.emnlp-main.1020
- DOI:
- 10.18653/v1/2023.emnlp-main.1020
- Cite (ACL):
- Minsik Oh, Joosung Lee, Jiwei Li, and Guoyin Wang. 2023. PK-ICR: Persona-Knowledge Interactive Multi-Context Retrieval for Grounded Dialogue. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16383–16395, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- PK-ICR: Persona-Knowledge Interactive Multi-Context Retrieval for Grounded Dialogue (Oh et al., EMNLP 2023)
- PDF:
- https://preview.aclanthology.org/corrections-2024-05/2023.emnlp-main.1020.pdf