Jointly Extracting Relations with Class Ties via Effective Deep Ranking

@inproceedings{Ye2017JointlyER,
  title={Jointly Extracting Relations with Class Ties via Effective Deep Ranking},
  author={Hai Ye and Wen-Han Chao and Zhunchen Luo},
  booktitle={ACL},
  year={2017}
}
Connections between relations in relation extraction, which we call class ties, are common. In distantly supervised scenario, one entity tuple may have multiple relation facts. Exploiting class ties between relations of one entity tuple will be promising for distantly supervised relation extraction. However, previous models are not effective or ignore to model this property. In this work, to effectively leverage class ties, we propose to make joint relation extraction with a unified model that… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 63 times over the past 90 days. VIEW TWEETS