| Abstract | This paper proposes a novel graph-based projection approach and demonstrates the merits of it by using a Korean relation extraction system based on projected dataset from an English—Korean parallel corpus. |
| Conclusions | The feasibility of our approach was demonstrated by our Korean relation extraction system . |
| Implementation | To demonstrate the effectiveness of the graph-based projection approach for relation extraction, we developed a Korean relation extraction system that was trained with projected annotations from English resources. |
| Implementation | We obtained 155,409 positive instances from the English sentences using an off-the-shelf relation extraction system , ReVerb 2 (Fader et al., 201 l). |
| Introduction | To obtain training examples in the resource-poor target language, this approach exploited a cross-lingual annotation projection by propagating annotations that were generated by a relation extraction system in a resource-rich source language. |