Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | DocType |
|---|---|---|
2016 | ACL (Student Research Workshop) | Conference |
Volume | Citations | PageRank |
P16-3 | 2 | 0.64 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davaajav Jargalsaikhan | 1 | 2 | 1.31 |
| Naoaki Okazaki | 2 | 649 | 65.25 |
| Koji Matsuda | 3 | 2 | 0.98 |
| Kentaro Inui | 4 | 1008 | 120.35 |