Neural Architectures for Fine-grained Entity Type Classification

@article{Shimaoka2016NeuralAF,
  title={Neural Architectures for Fine-grained Entity Type Classification},
  author={Sonse Shimaoka and Pontus Stenetorp and Kentaro Inui and Sebastian Riedel},
  journal={CoRR},
  year={2016},
  volume={abs/1606.01341}
}
In this work, we investigate several neural network architectures for fine-grained entity type classification and make three key contributions. Despite being a natural comparison and addition, previous work on attentive neural architectures have not considered hand-crafted features and we combine these with learnt features and establish that they complement each other. Additionally, through quantitative analysis we establish that the attention mechanism learns to attend over syntactic heads and… CONTINUE READING
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