Conversation generation based on conversation topics and knowledge differences

Han Liu; Guangming Xian; Ziming Miao

doi:10.1117/12.2685076

19 October 2023 Conversation generation based on conversation topics and knowledge differences

Han Liu, Guangming Xian, Ziming Miao

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270911 (2023) https://doi.org/10.1117/12.2685076
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

In the conversation system based on background knowledge, the core step is knowledge selection, but the existing model often has the following problems: the dialogue jumps too much before and after, and the answer is not answered by the topic; the dialogue is repeated, and the same sentence is constantly generated as a reply; the conversation contains too little information. Therefore, in response to these problems, in this paper, we propose a new model based on the research of previous researchers, which can combine the theme of the dialogue and the difference in knowledge selection. Experimental results show that our model has been improved in terms of BLEU and ACC values, and the generated content fully contains background knowledge information, and there will be no large jump without repeating.

Citation Download Citation

Han Liu, Guangming Xian, and Ziming Miao "Conversation generation based on conversation topics and knowledge differences", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270911 (19 October 2023); https://doi.org/10.1117/12.2685076

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