Self-Supervised Chinese Ontology Learning from Online Encyclopedias
Constructing ontology manually is a time-consuming, error-prone, and tedious task. We present SSCO, a self-supervised learning based chinese ontology, which contains about 255 thousand concepts, 5 million entities, and 40 million facts. We explore the three largest online Chinese encyclopedias for o...
| Автори: | , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Wiley
2014-01-01
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| Серія: | The Scientific World Journal |
| Онлайн доступ: | http://dx.doi.org/10.1155/2014/848631 |