计算机应用研究2024，Vol.41Issue(7)：1983-1991,9.DOI:10.19734/j.issn.1001-3695.2023.11.0545
基于知识表示学习的KBQA答案推理重排序算法
KBQA answer inference re-ranking algorithm based on knowledge representation learning
晋艳峰 1黄海来 2林沿铮 1王攸妙3
作者信息
- 1. 复旦大学 软件学院,上海 200433
- 2. 北京交通大学交通运输学院,北京 100044||上海申通地铁集团有限公司,上海 201103
- 3. 北京交通大学交通运输学院,北京 100044
- 折叠
摘要
Abstract
Existing research on knowledge base question answering(KBQA)typically relies on comprehensive knowledge ba-ses,but often overlooks the critical issue of knowledge graph sparsity in practical applications.To address this shortfall,this paper introduced a knowledge representation learning method that transforms knowledge bases into low-dimensional vectors.This transformation effectively eliminated the dependence on subgraph search spaces inherent in traditional models and achieved inference of implicit relationships,which previous research had not explored.Furthermore,to counter the propaga-tion of errors in downstream question-answering inference caused by semantic understanding errors of questions in traditional KBQA information retrieval,this paper introduced an answer inference re-ranking mechanism based on knowledge representa-tion learning.This mechanism utilized pseudo-twin networks to represent knowledge triplets and questions separately,and in-tegrated features from the core entity attention evaluation stage of upstream tasks to effectively re-rank the answer inference re-sult triplets.Finally,to validate the effectiveness of the proposed algorithm,this paper conducted comparative experiments on the China Mobile RPA knowledge graph question-answering system and an English open-source dataset.Experimental results demonstrate that,compared to existing models in the same field,the proposed method performs better in multiple key evalua-tion indicators such as hits@n,accuracy,and F1-scores,proving the superiority of the proposed KBQA answer inference re-ranking algorithm based on knowledge representation learning in handling implicit relationship inference in sparse knowledge graphs and KBQA answer inference.关键词
知识库问答/知识图谱/知识表示学习/答案推理Key words
knowledge graph question answering/knowledge graph/knowledge representation learning/answer reasoning分类
信息技术与安全科学引用本文复制引用
晋艳峰,黄海来,林沿铮,王攸妙..基于知识表示学习的KBQA答案推理重排序算法[J].计算机应用研究,2024,41(7):1983-1991,9.
