Improving Entity Linking Performance using Frame Semantics

被引：0
|
作者：
Nural, Mustafa V. [1 ]
Miller, John A. [1 ]
Arpinar, I. Budak [1 ]
机构：
[1] Univ Georgia, Dept Comp Sci, Athens, GA 30602 USA
来源：
2013 IEEE SEVENTH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2013) | 2013年
关键词：
Frame Semantics; Entity Linking; Entity Disambiguation; Selectional Preferences; Semantic Role Labeling;
D O I：
10.1109/ICSC.2013.19
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we investigate the use of Frame Semantics for improving the performance of linking of non-PLO (Person, Location, Organization) entities to Wikipedia articles. We propose an architecture for a system using Frame Semantics and Selectional Preferences (SP) to improve precision of linking non-PLO entities. We present performance results, which suggest that our system provides a mechanism to improve entity linking for non-PLO entities. We also show that Selectional Preferences can contribute for improved entity linking.
引用
收藏
页码：56 / 63
页数：8
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