Neural Architectures for Fine-grained Entity Type Classification

@inproceedings{Shimaoka2016NeuralAF,
  title={Neural Architectures for Fine-grained Entity Type Classification},
  author={Sonse Shimaoka and Pontus Stenetorp and Kentaro Inui and Sebastian Riedel},
  booktitle={EACL},
  year={2016}
}
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. Previous work on attentive neural architectures do not consider hand-crafted features, we combine learnt and hand-crafted features and observe that they complement each other. Additionally, through quantitative analysis we establish that the attention mechanism is… CONTINUE READING

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