Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies

Chris Kedzie, Kathleen R. McKeown. Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 5160-5185, Association for Computational Linguistics, 2020. [doi]

@inproceedings{KedzieM20,
  title = {Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies},
  author = {Chris Kedzie and Kathleen R. McKeown},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.419/},
  researchr = {https://researchr.org/publication/KedzieM20},
  cites = {0},
  citedby = {0},
  pages = {5160-5185},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020},
  editor = {Bonnie Webber and Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-60-6},
}