| Optimal Policy Trees | Dec 3, 2020 | Causal Inferencecounterfactual | —Unverified | 0 |
| Detecting Trojaned DNNs Using Counterfactual Attributions | Dec 3, 2020 | counterfactualDiversity | —Unverified | 0 |
| Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender Bias | Dec 1, 2020 | counterfactualWord Embeddings | CodeCode Available | 1 |
| HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection | Dec 1, 2020 | counterfactualLanguage Modeling | —Unverified | 0 |
| BLCU-NLP at SemEval-2020 Task 5: Data Augmentation for Efficient Counterfactual Detecting | Dec 1, 2020 | Common Sense Reasoningcounterfactual | —Unverified | 0 |
| Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals | Dec 1, 2020 | counterfactualCounterfactual Detection | —Unverified | 0 |
| Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements | Dec 1, 2020 | counterfactual | —Unverified | 0 |
| NLU-Co at SemEval-2020 Task 5: NLU/SVM Based Model Apply Tocharacterise and Extract Counterfactual Items on Raw Data | Dec 1, 2020 | counterfactualNatural Language Understanding | —Unverified | 0 |
| YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network | Dec 1, 2020 | counterfactualDimensionality Reduction | —Unverified | 0 |
| BYteam at SemEval-2020 Task 5: Detecting Counterfactual Statements with BERT and Ensembles | Dec 1, 2020 | Classificationcounterfactual | —Unverified | 0 |
