Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

ACL 2017 Ioannis KonstasSrinivasan IyerMark YatskarYejin ChoiLuke Zettlemoyer

Sequence-to-sequence models have shown strong performance across a broad range of applications. However, their application to parsing and generating text usingAbstract Meaning Representation (AMR)has been limited, due to the relatively limited amount of labeled data and the non-sequential nature of the AMR graphs... (read more)

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