Name
Abstract | ||
|---|---|---|
Automatic taxonomy construction aims to build a categorization system without human efforts. Traditional textual pattern based methods extract hyponymy relation in raw texts. However, these methods usually yield low precision and recall. In this paper, we propose a method to automatically find diffusing attributes to a category from Wikipedia infoboxes. We use the diffusing attribute to diffuse a coarse-grained category into several fine-grained subcategories and generate a finer-grained taxonomy. Experiments show our method can find proper diffusing attributes to categories across various domains. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3041021.3054235 | WWW (Companion Volume) |
Field | DocType | Citations |
Categorization,Data mining,Automatic taxonomy induction,Computer science,Precision and recall | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengshan Cai | 1 | 1 | 1.36 |
| Yansong Feng | 2 | 735 | 64.17 |
| Yantao Jia | 3 | 2 | 1.71 |
| Yuanzhuo Wang | 4 | 275 | 37.07 |
| Xiaolong Jin | 5 | 546 | 56.20 |
| Xueqi Cheng | 6 | 3148 | 247.04 |