multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning

Swarnadeep Saha, Prateek Yadav, Mohit Bansal. multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. In Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty 0002, Yichao Zhou, editors, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. pages 3662-3677, Association for Computational Linguistics, 2021. [doi]

@inproceedings{SahaYB21,
  title = {multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning},
  author = {Swarnadeep Saha and Prateek Yadav and Mohit Bansal},
  year = {2021},
  url = {https://www.aclweb.org/anthology/2021.naacl-main.287/},
  researchr = {https://researchr.org/publication/SahaYB21},
  cites = {0},
  citedby = {0},
  pages = {3662-3677},
  booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021},
  editor = {Kristina Toutanova and Anna Rumshisky and Luke Zettlemoyer and Dilek Hakkani-Tür and Iz Beltagy and Steven Bethard and Ryan Cotterell and Tanmoy Chakraborty 0002 and Yichao Zhou},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-46-6},
}