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Robustifying sentiment classification by maximally exploiting few counterfactuals

Maarten De Raedt (UGent) , Fréderic Godin, Chris Develder (UGent) and Thomas Demeester (UGent)
(2022) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. p.11386-11400
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Citation

Please use this url to cite or link to this publication:

MLA
De Raedt, Maarten, et al. “Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals.” Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (ACL), 2022, pp. 11386–400.
APA
De Raedt, M., Godin, F., Develder, C., & Demeester, T. (2022). Robustifying sentiment classification by maximally exploiting few counterfactuals. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 11386–11400. Association for Computational Linguistics (ACL).
Chicago author-date
De Raedt, Maarten, Fréderic Godin, Chris Develder, and Thomas Demeester. 2022. “Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals.” In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 11386–400. Association for Computational Linguistics (ACL).
Chicago author-date (all authors)
De Raedt, Maarten, Fréderic Godin, Chris Develder, and Thomas Demeester. 2022. “Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals.” In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 11386–11400. Association for Computational Linguistics (ACL).
Vancouver
1.
De Raedt M, Godin F, Develder C, Demeester T. Robustifying sentiment classification by maximally exploiting few counterfactuals. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL); 2022. p. 11386–400.
IEEE
[1]
M. De Raedt, F. Godin, C. Develder, and T. Demeester, “Robustifying sentiment classification by maximally exploiting few counterfactuals,” in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, United Arab Emirates, 2022, pp. 11386–11400.
@inproceedings{01GKGY37HQK91CSFJM074Y8AP3,
  author       = {{De Raedt, Maarten and Godin, Fréderic and Develder, Chris and Demeester, Thomas}},
  booktitle    = {{Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing}},
  language     = {{eng}},
  location     = {{Abu Dhabi, United Arab Emirates}},
  pages        = {{11386--11400}},
  publisher    = {{Association for Computational Linguistics (ACL)}},
  title        = {{Robustifying sentiment classification by maximally exploiting few counterfactuals}},
  url          = {{https://aclanthology.org/2022.emnlp-main.783}},
  year         = {{2022}},
}