Entity Linking for Mathematical Expressions in Scientific Documents

被引：5

作者：

Kristianto, Giovanni Yoko ^{[1
]}

Topic, Goran ^{[2
]}

Aizawa, Akiko ^{[1
,2
]}

机构：

[1] Univ Tokyo, Bunkyo Ku, Tokyo, Japan

[2] Natl Inst Informat, Chiyoda Ku, Tokyo, Japan

来源：

DIGITAL LIBRARIES: KNOWLEDGE, INFORMATION, AND DATA IN AN OPEN ACCESS SOCIETY | 2016年 / 10075卷

关键词：

Knowledge acquisition; Math entity linking; Math expression similarity; Wikification;

D O I：

10.1007/978-3-319-49304-6_18

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper addresses the challenge of determining the identity of math expressions in scientific documents by linking these expressions to their corresponding Wikipedia articles. Math expressions are frequently used to denote important concepts in scientific documents, yet several of them, for example, famous equations, often have minimal explanation in the documents. This task will allow us to obtain an additional explanation from Wikipedia regarding these math expressions. This paper proposes an approach to this challenge, where the structures and surrounding text of math expressions are used for math entity linking. Our initial evaluation shows that a balanced combination of math structures and textual descriptions is required to obtain reliable linking performance.

引用

页码：144 / 149

页数：6