Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks. Lake, B. & Baroni, M. In International Conference of Machine Learning (ICML 2018), 2018.
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks [link]Paper  bibtex   8 downloads  
@inproceedings{Lake2018,
archivePrefix = {arXiv},
arxivId = {1711.00350v3},
author = {Lake, Brenden and Baroni, Marco},
booktitle = {International Conference of Machine Learning (ICML 2018)},
eprint = {1711.00350v3},
file = {:Users/shanest/Documents/Library/Lake, Baroni/International Conference of Machine Learning (ICML 2018)/Lake, Baroni - 2018 - Generalization without Systematicity On the Compositional Skills of Sequence-to-Sequence Recurrent Networks.pdf:pdf},
keywords = {method: new data,phenomenon: compositionality},
title = {{Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks}},
url = {https://arxiv.org/abs/1711.00350},
year = {2018}
}

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