Broad-Coverage Semantic Parsing as Transduction

IJCNLP 2019 Sheng ZhangXutai MaKevin DuhBenjamin Van Durme

We unify different broad-coverage semantic parsing tasks under a transduction paradigm, and propose an attention-based neural framework that incrementally builds a meaning representation via a sequence of semantic relations. By leveraging multiple attention mechanisms, the transducer can be effectively trained without relying on a pre-trained aligner... (read more)

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