典型文献
Towards better entity linking
文献摘要：
As one of the most important components in knowledge graph construction,entity linking has been drawing more and more attention in the last decade.In this paper,we propose two improvements towards better entity linking.On one hand,we propose a simple but effective coarse-to-fine unsupervised knowledge base(KB)extraction approach to improve the quality of KB,through which we can conduct entity linking more efficiently.On the other hand,we propose a highway network framework to bridge key words and sequ-ential information captured with a self-attention mechanism to better represent both local and global information.Detailed experimentation on six public entity linking datasets verifies the great effectiveness of both our approaches.
文献关键词：
中图分类号：
作者姓名：
Mingyang LI;Yuqing XING;Fang KONG;Guodong ZHOU
作者机构：
School of Computer Science and Technology,Soochow University,Suzhou 215006,China
文献出处：
引用格式：
[1]Mingyang LI;Yuqing XING;Fang KONG;Guodong ZHOU-.Towards better entity linking)[J].计算机科学前沿,2022(02):51-63
A类：
sequ
B类：
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AB值：
0.615161
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