Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction

A Table Filling Multi-Task Recurrent Neural Network model that reduces the entity recognition and relation classification tasks to a table-filling problem and models their interdependencies and shows that a simple approach of piggybacking candidate entities to model the label dependencies from relations to entities improves performance.