Multi-task learning (Caruana, 1998) via neural networks (Zhang and Yeung, 2012;Seltzer and Droppo, 2013;Dong et al., 2015;Li and J, 2014;Collobert and Weston, 2008) have been used to model relationships among the correlated tasks.
we present a unified neural network based multi-task framework to model the entity-relation table for end-to-end relation extraction.