What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - models
收藏4TU.ResearchData2023-12-18 更新2026-04-23 收录
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https://data.4tu.nl/datasets/646b20e3-e24f-452d-938a-bcb6ce30913c/1
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资源简介：
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
本资源对应发表于国际计算语言学协会年会（ACL）2023的论文《文本分类器究竟学到了何种道德知识？一种用于道德修辞跨域对比的可解释方法》中的训练模型。该系列模型基于MFTC数据集，采用序列范式完成训练。七个模型中，每个模型均在六个MFTC数据集上完成训练，并在第七个MFTC数据集的子集上进行续训。包含模型使用说明的代码已在以下数字对象标识符（DOI）处公开：10.4121/1e71138c-be26-4652-971a-48a84837df8e
创建时间：
2023-12-18
