NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance

Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann. NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance. In Simon Dobnik, Lilja Øvrelid, editors, Proceedings of the 23rd Nordic Conference on Computational Linguistics, NoDaLiDa 2021, Reykjavik, Iceland (Online), May 31 - June 2, 2021. pages 276-287, Linköping University Electronic Press, Sweden, 2021. [doi]

@inproceedings{TalmanACT21,
  title = {NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance},
  author = {Aarne Talman and Marianna Apidianaki and Stergios Chatzikyriakidis and Jörg Tiedemann},
  year = {2021},
  url = {https://www.aclweb.org/anthology/2021.nodalida-main.28/},
  researchr = {https://researchr.org/publication/TalmanACT21},
  cites = {0},
  citedby = {0},
  pages = {276-287},
  booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics, NoDaLiDa 2021, Reykjavik, Iceland (Online), May 31 - June 2, 2021},
  editor = {Simon Dobnik and Lilja Øvrelid},
  publisher = {Linköping University Electronic Press, Sweden},
  isbn = {978-91-7929-614-8},
}