A generative model of latent underlying punctuation in dependency trees, trained on incomplete data via local likelihood maximization, produces plausible reconstructions across languages and beats baselines on restoration.
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A Generative Model for Punctuation in Dependency Trees
A generative model of latent underlying punctuation in dependency trees, trained on incomplete data via local likelihood maximization, produces plausible reconstructions across languages and beats baselines on restoration.