What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - models

Trained models for the paper "What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric", published at ACL '23. The models were trained on the MFTC datasets with the sequential paradigm. Each of the seven models was trained on six MFTC datasets and continued training on a portion of the seventh. The code that contains instructions on how to use the models is available at this DOI: 10.4121/1e71138c-be26-4652-971a-48a84837df8e本数据集配套的训练模型，源自发表于ACL 2023（国际计算语言学协会年会）的论文《文本分类器究竟习得何种道德认知？一种面向道德修辞跨域比较的可解释方法》。模型采用序列训练范式在MFTC数据集上完成训练。7个模型中，每一个均先在6个MFTC数据集上完成训练，随后在第7个数据集的子集上进行续训。包含模型使用说明的代码已公开，其DOI为：10.4121/1e71138c-be26-4652-971a-48a84837df8e