- Author
- Maarten De Raedt (UGent) , Fréderic Godin, Chris Develder (UGent) and Thomas Demeester (UGent)
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GKGY37HQK91CSFJM074Y8AP3
- 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}}, }