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

Author: Jin，Hailong ¹ Li，Chengjiang ¹ Zhang，Jing ¹ Hou，Lei ¹ Li ，Juanzi ¹ Zhang，Peng ¹
Institute:

1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
Correspondent： Hou，Lei Email:houlei@tsinghua.edu.cn
Submit Time:2022-11-25 21:29:13

Abstract: 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

Subject: Computer Science >> Integration Theory of Computer Science
Cite as: ChinaXiv:202211.00340 (or this version ChinaXiv:202211.00340V1)
DOI:10.1162/dint_a_00003
CSTR:32003.36.ChinaXiv.202211.00340.V1
TXID： d6b19f7b-2696-408a-b083-781c99b39de4
Recommended references： 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] (Click&Copy)

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2022-11-25 21:29:13

ChinaXiv:202211.00340V1

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