ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting counterfactual statements and detecting antecedent and consequence. This paper describes our system which is based on pre-trained transformers. For the first subtask, we train several transformer-based classifiers for detecting counterfactual statements. For the second subtask, we formulate antecedent and consequence extraction as a query-based question answering problem. The two subsystems both achieved third place in the evaluation. Our system is openly released at https://github.com/casnlu/ISCAS-SemEval2020Task5.
翻译:ISCAS参加了SemEval 2020 任务5:发现反事实声明和发现前兆及后果的两个子任务:发现反事实声明和发现前兆及后果;本文描述了我们基于预先训练的变压器的系统;关于第一个子任务,我们培训了数个基于变压器的分类器来检测反事实声明;关于第二个子任务,我们将预兆和后果提取作为基于查询的问题回答问题;两个子系统在评估中都达到了第三位;我们的系统在https://github.com/casnlu/ISCAS-SemEval20Task5上公开发布。