Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals

Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester. Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 11386-11400, Association for Computational Linguistics, 2022. [doi]

@inproceedings{RaedtGDD22,
  title = {Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals},
  author = {Maarten De Raedt and Fréderic Godin and Chris Develder and Thomas Demeester},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.783},
  researchr = {https://researchr.org/publication/RaedtGDD22},
  cites = {0},
  citedby = {0},
  pages = {11386-11400},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}