PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora

Dinesh Nagumothu, Bahadorreza Ofoghi, Guangyan Huang, Peter W. Eklund. PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora. In Antske Fokkens, Vivek Srikumar, editors, Proceedings of the 26th Conference on Computational Natural Language Learning, CoNLL 2022, Abu Dhabi, United Arab Emirates (Hybrid Event), December 7-8, 2022. pages 350-359, Association for Computational Linguistics, 2022. [doi]

@inproceedings{NagumothuOHE22,
  title = {PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora},
  author = {Dinesh Nagumothu and Bahadorreza Ofoghi and Guangyan Huang and Peter W. Eklund},
  year = {2022},
  url = {https://aclanthology.org/2022.conll-1.24},
  researchr = {https://researchr.org/publication/NagumothuOHE22},
  cites = {0},
  citedby = {0},
  pages = {350-359},
  booktitle = {Proceedings of the 26th Conference on Computational Natural Language Learning, CoNLL 2022, Abu Dhabi, United Arab Emirates (Hybrid Event), December 7-8, 2022},
  editor = {Antske Fokkens and Vivek Srikumar},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-07-4},
}