SemEval-2020 Task 5: Counterfactual Recognition

We present a counterfactual recognition (CR) task, the shared Task 5 of SemEval-2020. Counterfactuals describe potential outcomes (consequents) produced by actions or circumstances that did not happen or cannot happen and are counter to the facts (antecedent). Counterfactual thinking is an important characteristic of the human cognitive system; it connects antecedents and consequents with causal relations. Our task provides a benchmark for counterfactual recognition in natural language with two subtasks. Subtask-1 aims to determine whether a given sentence is a counterfactual statement or not. Subtask-2 requires the participating systems to extract the antecedent and consequent in a given counterfactual statement. During the SemEval-2020 official evaluation period, we received 27 submissions to Subtask-1 and 11 to Subtask-2. The data, baseline code, and leaderboard can be found at https://competitions.codalab.org/competitions/21691. The data and baseline code are also available at https://zenodo.org/record/3932442.

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Datasets


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Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Counterfactual Detection SemEval-2020 Task5 subtask 1 Baseline F1 19.7 # 1
Recall 11.5 # 1
Precision 69.7 # 1
Counterfactual Detection SemEval-2020 Task5 subtask 2 Baseline F1 55.5 # 2
Recall 54.9 # 2
Precision 56.8 # 2
Exact Match 34.3 # 2

Methods