Structural Neural Encoders for AMR-to-text Generation

Preprint, Contribution for newspaper or weekly magazine English OPEN
Damonte, Marco; Cohen, Shay;
(2019)
  • Subject: Computer Science - Computation and Language
    acm: Data_CODINGANDINFORMATIONTHEORY

AMR-to-text generation is a problem recently introduced to the NLP community, in which the goal is to generate sentences from Abstract Meaning Representation (AMR) graphs. Sequence-to-sequence models can be used to this end by converting the AMR graphs to strings. Appro... View more
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