Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability

Venelin Kovatchev, Phillip Smith, Mark G. Lee, Rory T. Devine. Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability. In Chengqing Zong, Fei Xia, Wenjie Li 0002, Roberto Navigli, editors, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021. pages 1196-1206, Association for Computational Linguistics, 2021. [doi]

@inproceedings{KovatchevSLD20,
  title = {Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability},
  author = {Venelin Kovatchev and Phillip Smith and Mark G. Lee and Rory T. Devine},
  year = {2021},
  url = {https://aclanthology.org/2021.acl-long.96},
  researchr = {https://researchr.org/publication/KovatchevSLD20},
  cites = {0},
  citedby = {0},
  pages = {1196-1206},
  booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021},
  editor = {Chengqing Zong and Fei Xia and Wenjie Li 0002 and Roberto Navigli},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-52-7},
}