Graph-to-Sequence Learning using Gated Graph Neural Networks

Trevor Cohn; Gholamreza Haffari; Daniel Beck

Conference Proceedings

Graph-to-Sequence Learning using Gated Graph Neural Networks

Trevor Cohn, Gholamreza Haffari, Daniel Beck

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) | ACL Anthology | Published : 2018

DOI: 10.18653/v1/p18-1026

University of Melbourne Researchers

Trevor Cohn Author Computing and Information Systems

Daniel Beck Author Computing and Information Systems

Grants

Awarded by Australian Research Council

Funding Acknowledgements

This work was supported by the Australian Research Council (DP160102686). The research reported in this paper was partly conducted at the 2017 Frederick Jelinek Memorial Summer Workshop on Speech and Language Technologies, hosted at Carnegie Mellon University and sponsored by Johns Hopkins University with unrestricted gifts from Amazon, Apple, Facebook, Google, and Microsoft. The authors would also like to thank Joost Bastings for sharing the data from his paper's experiments.