J Shanghai Jiaotong Univ Sci ›› 2023, Vol. 28 ›› Issue (6): 695-702.doi: 10.1007/s12204-021-2394-1
• • 下一篇
谢晨昊1,梁家卿1,肖仰华1,HWANG Seung-won2
接受日期:
2021-11-02
出版日期:
2023-11-28
发布日期:
2023-12-04
XIE Chenhao1(谢晨昊),LIANG Jiaqing1(梁家卿), XIA0 Yanghua1,*(肖仰华), HWANG Seung-won2
Accepted:
2021-11-02
Online:
2023-11-28
Published:
2023-12-04
摘要: 在许多应用程序中,找到一个属性来解释给定实体对之间关系是很有价值的。然而,许多直接解决方案的失败是由于严重依赖文本而导致精度低,并且由于证据稀缺而导致召回率低。因此,提出了一个泛化和推理框架,并将其构建成一个系统:实体-关系查找(ERF)。主要思想是将实体对概念化为适当的概念对,作为中间随机变量来形成解释。尽管已经对实体概念化进行了研究,但其面临着多个关系实例的集体优化、两个实体的联合优化以及将稀释的观察结果聚集到定义关系的头部概念中的新挑战。我们提出了概念化的解决方案,并通过大量实验验证了这些方案及其框架。
中图分类号:
谢晨昊, 梁家卿, 肖仰华, HWANG Seung-won. 概念化的实体关系解释[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(6): 695-702.
XIE Chenhao(谢晨昊), LIANG Jiaqing(梁家卿), XIA Yanghua(肖仰华), HWANG Seung-won. Entity Relationship Explanation via Conceptualization[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(6): 695-702.
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