ClarQ: A large-scale and diverse dataset for Clarification Question Generation

Vaibhav Kumar, Alan W. Black. ClarQ: A large-scale and diverse dataset for Clarification Question Generation. In Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel R. Tetreault, editors, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020. pages 7296-7301, Association for Computational Linguistics, 2020. [doi]

@inproceedings{KumarB20-3,
  title = {ClarQ: A large-scale and diverse dataset for Clarification Question Generation},
  author = {Vaibhav Kumar and Alan W. Black},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.acl-main.651/},
  researchr = {https://researchr.org/publication/KumarB20-3},
  cites = {0},
  citedby = {0},
  pages = {7296-7301},
  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020},
  editor = {Dan Jurafsky and Joyce Chai and Natalie Schluter and Joel R. Tetreault},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-25-5},
}