TY - DATA
T1 - What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - models
PY - 2023/12/18
AU - Enrico Liscio
AU - Oscar Araque
AU - Lorenzo Gatti
AU - Ionut Constantinescu
AU - C.M. (Catholijn) Jonker
AU - Kyriaki Kalimeri
AU - Pradeep K. Murukannaiah
UR - 
DO - 10.4121/646b20e3-e24f-452d-938a-bcb6ce30913c.v1
KW - NLP
KW - Morality
KW - Ethics
KW - XAI
KW - natural language processing
KW - explainable artificial intelligence
N2 - <p>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</p>
ER -