Neural Architectures for Fine-grained Entity Type Classification

EACL 2017 Sonse ShimaokaPontus StenetorpKentaro InuiSebastian Riedel

In this work, we investigate several neural network architectures for fine-grained entity type classification. Particularly, we consider extensions to a recently proposed attentive neural architecture and make three key contributions... (read more)

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