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

COLING 2016 Pankaj GuptaHinrich Sch{\"u}tzeBernt Andrassy

This paper proposes a novel context-aware joint entity and word-level relation extraction approach through semantic composition of words, introducing a Table Filling Multi-Task Recurrent Neural Network (TF-MTRNN) model that reduces the entity recognition and relation classification tasks to a table-filling problem and models their interdependencies. The proposed neural network architecture is capable of modeling multiple relation instances without knowing the corresponding relation arguments in a sentence... (read more)

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