SCAN-CNN

This repository contains results of the experiments of several CNNs configuration on the SCAN dataset available here. Findings are reported in Dessì & Baroni (2019). "CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks".

@inproceedings{dessi-baroni-2019-cnns,
    title = "{CNN}s found to jump around more skillfully than {RNN}s: Compositional Generalization in Seq2seq Convolutional Networks",
    author = "Dess{\`\i}, Roberto  and
      Baroni, Marco",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P19-1381",
    doi = "10.18653/v1/P19-1381",
    pages = "3919--3923",
}