【摘要】 针对知识库问答传统流水线方法中容易出现错误传递且不同子任务之间缺乏联系的问题，提出一种新的知识库问答系统方法，将多任务学习引入知识库问答系统，从而改进知识库问答系统效果。让多个子任务共享一个编码器，促使模型学习到更好的底层表达，提高了模型的泛化能力。在CCKS2022-CKBQA任务上的实验结果表明，所提方法取得了较好的效果。更多还原

【Abstract】 In view of such flaws as error transmission or loose connection between different subtasks found in the traditional assembly line method of knowledge base Q&A, a new method of knowledge base Q&A system has been proposed, with multi-task learning incorporated into the knowledge base quiz system so as to improve its effectiveness.Allowing multiple subtasks to share a single encoder enables the model to acquire a better underlying representation,thus helping to improve the generalization ability of the model. Experimental results on the CCKS2022-CKBQA task verifies the better performance of the proposed method in this paper.更多还原