Data Programming for Learning Discourse Structure

ACL 2019 Sonia BadeneKate ThompsonJean-Pierre Lorr{\'e}Nicholas Asher

This paper investigates the advantages and limits of data programming for the task of learning discourse structure. The data programming paradigm implemented in the Snorkel framework allows a user to label training data using expert-composed heuristics, which are then transformed via the {``}generative step{''} into probability distributions of the class labels given the training candidates... (read more)

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