Neural Architectures for Fine-grained Entity Type Classification

@article{Shimaoka2017NeuralAF,
  title={Neural Architectures for Fine-grained Entity Type Classification},
  author={Sonse Shimaoka and Pontus Stenetorp and Kentaro Inui and S. Riedel},
  journal={ArXiv},
  year={2017},
  volume={abs/1606.01341}
}
  • Sonse Shimaoka, Pontus Stenetorp, +1 author S. Riedel
  • Published 2017
  • Computer Science
  • ArXiv
  • 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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