Self-Attentional Models for Lattice Inputs

ACL 2019 Matthias SperberGraham NeubigNgoc-Quan PhamAlex Waibel

Lattices are an efficient and effective method to encode ambiguity of upstream systems in natural language processing tasks, for example to compactly capture multiple speech recognition hypotheses, or to represent multiple linguistic analyses. Previous work has extended recurrent neural networks to model lattice inputs and achieved improvements in various tasks, but these models suffer from very slow computation speeds... (read more)

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