Grounded Compositional Outputs for Adaptive Language Modeling

Nikolaos Pappas 0002, Phoebe Mulcaire, Noah A. Smith. Grounded Compositional Outputs for Adaptive Language Modeling. 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 1252-1267, Association for Computational Linguistics, 2020. [doi]

@inproceedings{PappasMS20,
  title = {Grounded Compositional Outputs for Adaptive Language Modeling},
  author = {Nikolaos Pappas 0002 and Phoebe Mulcaire and Noah A. Smith},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.96/},
  researchr = {https://researchr.org/publication/PappasMS20},
  cites = {0},
  citedby = {0},
  pages = {1252-1267},
  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},
}