Knowledge Commons of Institute of Automation,CAS
A Multi Domain Knowledge Enhanced Matching Network for Response Selection in Retrieval-Based Dialogue Systems | |
Chen, Xiuyi1,2![]() ![]() ![]() ![]() | |
2022-05 | |
会议名称 | ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
会议日期 | 2022-05 |
会议地点 | Singapore, Singapore |
摘要 | Building a human-machine conversational agent is a core problem in Artificial Intelligence, where knowledge has to be integrated into the model effectively. In this paper, we propose a Multi Domain Knowledge Enhanced Matching Network (MDKEMN) to build retrievalbased dialogue systems that could leverage both explicit knowledge graph and implicit domain knowledge for response selection. Specifically, our MDKEMN leverages the self-attention mechanism of a single-stream Transformer to make deep interactions among the dialogue context, response candidate and external knowledge graph, and finally returns the matching degree of each context-response pair under the external knowledge. Furthermore, to leverage the implicit domain knowledge from all domains to improve the performance of each domain, we combine the multi-domain datasets for training and then finetune the pretrained model on each domain. Experimental results show (1) the effectiveness of both explicit and implicit knowledge incorporating and (2) the superiority of our approach over previous baselines on a Chinese multi-domain knowledge-driven dialogue dataset. |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48921 |
专题 | 复杂系统认知与决策实验室_听觉模型与认知计算 |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.Institute of Automation, Chinese Academy of Sciences (CASIA). Beijing, China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Chen, Xiuyi,Chen, Feilong,Xu, Shuang,et al. A Multi Domain Knowledge Enhanced Matching Network for Response Selection in Retrieval-Based Dialogue Systems[C],2022. |
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