论文标题
iSCAS在Semeval-2020任务5：反事实语句建模的预训练的变压器
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
论文作者
论文摘要
ISCAS参与了Semeval 2020任务5的两个子任务5：检测反事实陈述并检测先决条件和后果。本文描述了基于预训练的变压器的系统。对于第一个子任务，我们训练几个基于变压器的分类器来检测反事实语句。对于第二个子任务，我们将先例和后果提取作为基于查询的问题答案问题。这两个子系统都在评估中获得了第三名。我们的系统在https://github.com/casnlu/iscas-semeval2020task5上公开发布。
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.
