Constituent Parsing with Incremental Sigmoid Belief Networks

  title={Constituent Parsing with Incremental Sigmoid Belief Networks},
  author={Ivan Titov and James Henderson},
We introduce a framework for syntactic parsing with latent variables based on a form of dynamic Sigmoid Belief Networks called Incremental Sigmoid Belief Networks. We demonstrate that a previous feed-forward neural network parsing model can be viewed as a coarse approximation to inference with this class of graphical model. By constructing a more accurate but still tractable approximation, we significantly improve parsing accuracy, suggesting that ISBNs provide a good idealization for parsing… CONTINUE READING
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