: The model inside this project significantly outperformed traditional sequence-to-sequence (Seq2Seq) baselines by better capturing "hidden structure information" in the text through graph neural networks.
: The underlying logic for the Graph-to-Sequence (Graph2Seq) model. redistribute.zip
: Standardized versions of datasets like SQuAD or MARCO, which are commonly used to train question-answering systems. : The model inside this project significantly outperformed