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 APA Style APA-ALL Style AAA 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). Classifying Dutch Fiscal Case-Law Articles using Natural Language Processing. In Business Economics.http://hdl.handle.net/2105/60786

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