MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

Anthony Chen, Gabriel Stanovsky, Sameer Singh 0001, Matt Gardner 0001. MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. 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 6521-6532, Association for Computational Linguistics, 2020. [doi]

@inproceedings{ChenSSG20,
  title = {MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics},
  author = {Anthony Chen and Gabriel Stanovsky and Sameer Singh 0001 and Matt Gardner 0001},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.528/},
  researchr = {https://researchr.org/publication/ChenSSG20},
  cites = {0},
  citedby = {0},
  pages = {6521-6532},
  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},
}