BYteam at SemEval-2020 Task 5: Detecting Counterfactual Statements with BERT and Ensembles
Yang Bai, Xiaobing Zhou · 2020
We participate in the classification tasks of SemEval-2020 Task: Subtask1: Detecting counterfactual statements of semeval-2020 task5(Detecting Counterfactuals).This paper examines different approaches and models towards detecting counterfactual statements classification.We choose the Bert model.However, the output of Bert is not a good summary of semantic information, so in order to obtain more abundant semantic information features, we modify the upper layer structure of Bert.Finally, our system achieves an accuracy of 88.90 % and F1 score of 86.30 % by hard voting, which ranks 6th on the final leader board of the in subtask 1 competition.