Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations

@article{Sun2020RecurrentIN,
  title={Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations},
  author={Kai Sun and Richong Zhang and Samuel Mensah and Yongyi Mao and Xudong Liu},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.00162}
}
The idea of using multi-task learning approaches to address the joint extraction of entity and relation is motivated by the relatedness between the entity recognition task and the relation classification task. Existing methods using multi-task learning techniques to address the problem learn interactions among the two tasks through a shared network, where the shared information is passed into the task-specific networks for prediction. However, such an approach hinders the model from learning… 

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