| 基于查询路径排序的知识库问答系统 |
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| 引用本文： | 宋鹏程,单丽莉,孙承杰,林磊.基于查询路径排序的知识库问答系统[J].中文信息学报,2021,35(11):109. |
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| 作者姓名： | 宋鹏程 单丽莉 孙承杰 林磊 |
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| 作者单位： | 1.人民网 传播内容认知国家重点实验室,北京 100733;
2.哈尔滨工业大学 计算机科学与技术学院,黑龙江 哈尔滨 150001 |
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| 基金项目： | 传播内容认知国家重点实验室课题(A12002) |
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| 摘 要： | 该文提出了一种基于查询路径排序的知识库问答系统。为了将简单问题与复杂的多约束问题统一处理,同时提高系统的准确性,该系统采用基于LambdaRank算法构建的排序模型,对查询路径按照与问题的相关度大小进行排序,选择与问题相关度最高的路径用于抽取答案。同时,该系统还应用了一种融合方法以提高实体识别的准确性。该文所构建的系统在CCKS2019 KBQA任务与CCKS2020 KBQA任务上均取得了较好的效果。
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| 关 键 词： | 知识库 问答系统 排序 多约束 |
| 收稿时间： | 2021-03-19 |
A Knowledge Base Question Answering System Based on Query Path Ranking |
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| SONG Pengcheng,SHAN Lili,SUN Chengjie,LIN Lei.A Knowledge Base Question Answering System Based on Query Path Ranking[J].Journal of Chinese Information Processing,2021,35(11):109. |
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| Authors: | SONG Pengcheng SHAN Lili SUN Chengjie LIN Lei |
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| Affiliation: | 1.People‘s Daily Online, State Key Laboratory of Communication Content Cognition, Beijing 100733, China;2.School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China |
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| Abstract: | We proposed a new Knowledge Base Question Answering System based on the technology of query path ranking in this paper. The system is able to handle both simple and complex multi-constraint questions. In order to improve the performance of the system, we use Lambda Rank algorithm to sort candidate query paths according to their correlation degree with a question. The candidate path with the highest correlation degree with a question is chosen and used to extract answers. Moreover, the system also adopted a kind of novel fusion method which improved the accuracy of the entity recognition problem. The system has achieved promising results in both CCKS2019 and CCKS2020 KBQA tasks. |
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| Keywords: | knowledge base Question Answering rank multi-constraint |
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