What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - models
doi:10.4121/646b20e3-e24f-452d-938a-bcb6ce30913c.v1
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doi: 10.4121/646b20e3-e24f-452d-938a-bcb6ce30913c
doi: 10.4121/646b20e3-e24f-452d-938a-bcb6ce30913c
Datacite citation style:
Liscio, Enrico; Araque, Oscar; Gatti, Lorenzo; Constantinescu, Ionut; C.M. (Catholijn) Jonker et. al. (2023): What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - models. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/646b20e3-e24f-452d-938a-bcb6ce30913c.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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licence
CC BY 4.0
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
history
- 2023-12-18 first online, published, posted
publisher
4TU.ResearchData
format
pytorch_model.bin
associated peer-reviewed publication
What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric
funding
- Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).
- European Union's Horizon 2020 research and innovation program (grant code STG–677576) European Research Council
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent SystemsUniversidad Politécnica de Madrid, Departamento de Ingeniería de Sistemas Telemáticos
University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Human Media Interaction (HMI)
ETH Zürich Department of Computer Science,
ISI Foundation, Data Science Laboratory
Leiden University, Leiden Institute of Advanced Computer Science
DATA
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tomea_models.zip -
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