论文标题

Semeval-2020任务5:反事实识别

SemEval-2020 Task 5: Counterfactual Recognition

论文作者

Yang, Xiaoyu, Obadinma, Stephen, Zhao, Huasha, Zhang, Qiong, Matwin, Stan, Zhu, Xiaodan

论文摘要

我们提出了反事实识别(CR)任务,即Semeval-2020的共享任务5。反事实描述了没有发生或无法发生的行动或环境产生的潜在结果(结果),并且与事实相反(前身)。反事实思维是人类认知系统的重要特征。它与因果关系联系起来。我们的任务为具有两个子任务的自然语言提供了反事实识别的基准。 subtask-1旨在确定给定的句子是否是反事实陈述。子任务2要求参与系统在给定的反事实陈述中提取先决条件并因此而导致。在2020年官方评估期间,我们收到了27次提交给子任务-1和11的提交给子任务-2。数据,基线代码和排行榜可以在https://competitions.codalab.org/competitions/21691上找到。数据和基线代码也可在https://zenodo.org/record/3932442上找到。

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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