Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes
Davaajav Jargalsaikhan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui · 2016
In this research, we build a Wikification corpus for advancing Japanese Entity Linking.This corpus consists of 340 Japanese newspaper articles with 25,675 entity mentions.All entity mentions are labeled by a fine-grained semantic classes (200 classes), and 19,121 mentions were successfully linked to Japanese Wikipedia articles.Even with the fine-grained semantic classes, we found it hard to define the target of entity linking annotations and to utilize the fine-grained semantic classes to improve the accuracy of entity linking.