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 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	Koning, S.H.B. de. (2022, May 31). 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. Business Economics. Retrieved from 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