Gradient-based Inference for Networks with Output Constraints

26 Jul 2017Jay Yoon LeeSanket Vaibhav MehtaMichael WickJean-Baptiste TristanJaime Carbonell

Practitioners apply neural networks to increasingly complex problems in natural language processing, such as syntactic parsing and semantic role labeling that have rich output structures. Many such structured-prediction problems require deterministic constraints on the output values; for example, in sequence-to-sequence syntactic parsing, we require that the sequential outputs encode valid trees... (read more)

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