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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)
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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. 2022.
APA
De Raedt, M., Godin, F., Develder, C., & Demeester, T. (2022). Robustifying sentiment classification by maximally exploiting few counterfactuals. Presented at the EMNLP2022, the Conference on Empirical Methods in Natural, Abu Dhabi.
Chicago author-date
De Raedt, Maarten, Fréderic Godin, Chris Develder, and Thomas Demeester. 2022. “Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals.” In .
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 .
Vancouver
1.
De Raedt M, Godin F, Develder C, Demeester T. Robustifying sentiment classification by maximally exploiting few counterfactuals. In 2022.
IEEE
[1]
M. De Raedt, F. Godin, C. Develder, and T. Demeester, “Robustifying sentiment classification by maximally exploiting few counterfactuals,” presented at the EMNLP2022, the Conference on Empirical Methods in Natural, Abu Dhabi, 2022.
@inproceedings{01GKGY37HQK91CSFJM074Y8AP3,
  author       = {{De Raedt, Maarten and Godin, Fréderic and Develder, Chris and Demeester, Thomas}},
  language     = {{und}},
  location     = {{Abu Dhabi}},
  pages        = {{15}},
  title        = {{Robustifying sentiment classification by maximally exploiting few counterfactuals}},
  year         = {{2022}},
}