Researcher profile

Shengnan An

1 paper in the PaperMetrix corpus

Publications

Papers by this author

  1. Learning Algebraic Recombination for Compositional Generalization

    2021 · arXiv (Cornell University)

    Neural sequence models exhibit limited compositional generalization ability in semantic parsing tasks. Compositional generalization requires algebraic recombination, i.e., dynamically recombining structured expressions in a recursive manner. However, most previous studies mainly concentrate on recombining lexical …