Classifying Dutch Fiscal Case-Law Articles using Natural Language Processing

Additional Metadata
Keywords	Transformer; Document Classification; Long-Document Transformer; Natural Language Processing (NLP)
Thesis Advisor	Velden, M. van de
Persistent URL	hdl.handle.net/2105/60786
Series	Business Economics
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Ronde, K. de. (2022, January 5). Classifying Dutch Fiscal Case-Law Articles using Natural Language Processing. Business Economics. Retrieved from http://hdl.handle.net/2105/60786

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