Standing on the Shoulders of Giants: Combining Googles BERT, Facebooks RoBERTa and FastAIs ULMFiT through Model Ensembling for Text Classification of Dutch Data Processing Agreements

Additional Metadata
Keywords	FastAI; PyTorch; NLP; legal; text classification; model ensembling
Thesis Advisor	Raviv, E.
Persistent URL	hdl.handle.net/2105/61954
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	Koning, S.H.B. de. (2022). Standing on the Shoulders of Giants: Combining Googles BERT, Facebooks RoBERTa and FastAIs ULMFiT through Model Ensembling for Text Classification of Dutch Data Processing Agreements. In Business Economics.http://hdl.handle.net/2105/61954

Standing on the Shoulders of Giants: Combining Googles BERT, Facebooks RoBERTa and FastAIs ULMFiT through Model Ensembling for Text Classification of Dutch Data Processing Agreements