The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/8360d02b-b32f-4f07-bbf4-168915392bd9

Liscio, Enrico; Dondera, Alin E.; Geadau, Andrei; C.M. (Catholijn) Jonker; Murukannaiah, Pradeep K. (2023): Cross-Domain Classification of Moral Values - code. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/8360d02b-b32f-4f07-bbf4-168915392bd9.v1

Software

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

Cross-domain, Ethics, Morality, natural language processing, NLP, Values

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Enrico Liscio , Alin E. Dondera , Andrei Geadau , C.M. (Catholijn) Jonker , Pradeep K. Murukannaiah

Code for the paper "Cross-Domain Classification of Moral Values", published at NAACL '22. This code implements a cross-domain evaluation of BERT, fastText, and LSTM across the seven datasets of MFTC. After being trained, the models are evaluated for generalizability, transferability, and catastrophic forgetting.

• 2023-12-18 first online, published, posted

4TU.ResearchData

Python code

Cross-Domain Classification of Moral Values

• Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems