Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue
Zhiyuan Ma, Jianjun Li, Zezheng Zhang, Guohui Li, Yongjing Cheng
Abstract
Recent years has witnessed the remarkable success in end-to-end task-oriented dialog system, especially when incorporating external knowledge information. However, the quality of most existing models’ generated response is still limited, mainly due to their lack of fine-grained reasoning on deterministic knowledge (w.r.t. conceptual tokens), which makes them difficult to capture the concept shifts and identify user’s real intention in cross-task scenarios. To address these issues, we propose a novel intention mechanism to better model deterministic entity knowledge. Based on such a mechanism, we further propose an intention reasoning network (IR-Net), which consists of joint and multi-hop reasoning, to obtain intention-aware representations of conceptual tokens that can be used to capture the concept shifts involved in task-oriented conversations, so as to effectively identify user’s intention and generate more accurate responses. Experimental results verify the effectiveness of IR-Net, showing that it achieves the state-of-the-art performance on two representative multi-domain dialog datasets.- Anthology ID:
- 2021.emnlp-main.174
- Volume:
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2021
- Address:
- Online and Punta Cana, Dominican Republic
- Editors:
- Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2273–2285
- Language:
- URL:
- https://aclanthology.org/2021.emnlp-main.174
- DOI:
- 10.18653/v1/2021.emnlp-main.174
- Cite (ACL):
- Zhiyuan Ma, Jianjun Li, Zezheng Zhang, Guohui Li, and Yongjing Cheng. 2021. Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 2273–2285, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue (Ma et al., EMNLP 2021)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2021.emnlp-main.174.pdf