Latent Predictor Networks for Code Generation

ACL, 2016.

Cited by: 155|Bibtex|Views141|Links
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Abstract:

Many language generation tasks require the production of text conditioned on both structured and unstructured inputs. We present a novel neural network architecture which generates an output sequence conditioned on an arbitrary number of input functions. Crucially, our approach allows both the choice of conditioning context and the granul...More

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