Question Formulation and Question Answering for Knowledge Graph Completion

被引：0
|
作者：
Khvalchik, Maria [1 ]
Blaschke, Christian [1 ]
Revenko, Artem [1 ]
机构：
[1] Semant Web Co, Vienna, Austria
来源：
DATABASE AND EXPERT SYSTEMS APPLICATIONS (DEXA 2019) | 2019年 / 1062卷
基金：
欧盟地平线“2020”;
关键词：
Knowledge graph completion; Question formulation; Question Answering; Link prediction;
D O I：
10.1007/978-3-030-27684-3_21
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Knowledge graphs contain only a subset of what is true. Following recent success of Question Answering systems in outperforming humans, we employ the developed tools to complete knowledge graph. To create the questions automatically, we explore domain-specific lexicalization patterns. We outline the overall procedure and discuss preliminary results.
引用
收藏
页码：166 / 171
页数：6
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