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Recurrent neural network grammars (RNNG) are generative models of language which jointly model syntax and surface structure by incrementally generating a syntax tree and sentence in a top-down, left-to-right order.
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StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
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Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
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