XLORE2: Large-Scale Cross-Lingual Knowledge Graph Construction and Application 后印本

作者： Jin，Hailong ¹ Li，Chengjiang ¹ Zhang，Jing ¹ Hou，Lei ¹ Li ，Juanzi ¹ Zhang，Peng ¹
作者单位：

1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
通讯作者： Hou，Lei Email:houlei@tsinghua.edu.cn
提交时间：2022-11-25 21:29:13

摘要: Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for KB completion. Although XLORE is an English-Chinese bilingual knowledge graph, there are only 423,974 cross-lingual links between English instances and Chinese instances. We present XLORE2, an extension of the XLORE that is built automatically from Wikipedia, Baidu Baike and Hudong Baike. We add more facts by making cross-lingual knowledge linking, cross-lingual property matching and fine-grained type inference. We also design an entity linking system to demonstrate the effectiveness and broad coverage of XLORE2.

Knowledge base completion Knowledge linking Property matching Taxonomy alignment Type inference Entity linking

分类： 计算机科学 >> 计算机科学的集成理论
引用： ChinaXiv:202211.00340 (或此版本 ChinaXiv:202211.00340V1)
DOI:10.1162/dint_a_00003
CSTR:32003.36.ChinaXiv.202211.00340.V1
科创链TXID： d6b19f7b-2696-408a-b083-781c99b39de4
推荐引用方式： Jin，Hailong,Li，Chengjiang ,Zhang，Jing ,Hou，Lei ,Li ，Juanzi ,Zhang，Peng .XLORE2: Large-Scale Cross-Lingual Knowledge Graph Construction and Application.null.[DOI:10.1162/dint_a_00003] (点此复制)

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[V1]

2022-11-25 21:29:13

ChinaXiv:202211.00340V1

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