We study several deep and non-deep models for this task, that learn to extract latent entities from texts and overcome the fact that these are not mentioned explicitly.
we study a model that combines a neural recurrent network (Bi-GRUs) and multitask learning, showing that joint prediction of correlated entities could refine the performance.