Extractive Summarization: A comparison of deep learning models for summarization of text extracted from speech and written text

Additional Metadata
Keywords	NLP, Natural Language Processing, Summarization, Machine Learning, Neural Networks
Thesis Advisor	Brandt, Tobias, Ghiassi-Farrokhfal, Yashar
Persistent URL	hdl.handle.net/2105/48024
Series	Business Information Management
Organisation	Rotterdam School of Management
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	Maulabux, Fabia. (2019, June 28). Extractive Summarization: A comparison of deep learning models for summarization of text extracted from speech and written text. Business Information Management. Retrieved from http://hdl.handle.net/2105/48024

Publication