Deep Recursive Neural Networks for Compositionality in Language

@inproceedings{Irsoy2014DeepRN,
  title={Deep Recursive Neural Networks for Compositionality in Language},
  author={Ozan Irsoy and Claire Cardie},
  booktitle={NIPS},
  year={2014}
}
Recursive neural networks comprise a class of architecture that can operate on structured input. They have been previously successfully applied to model compositionality in natural language using parse-tree-based structural representations. Even though these architectures are deep in structure, they lack the capacity for hierarchical representation that exists in conventional deep feed-forward networks as well as in recently investigated deep recurrent neural networks. In this work we introduce… CONTINUE READING
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