While the preprocessing pipeline we are focusing on in this post is mainly centered around Deep Learning, most of it will also be applicable to conventional machine learning models too.
“This guide is designated to anybody with basic programming knowledge or a computer science background interested in becoming a Research Scientist with on Deep Learning and NLP”.
R. Wang, E. Durmus, N. Goodman, und T. Hashimoto. (2022)cite arxiv:2203.11370Comment: ICLR Oral 2022. Code: https://github.com/rosewang2008/language_modeling_via_stochastic_processes.
R. Collobert, und J. Weston. Proceedings of the 25th international conference on Machine learning, Volume 307 von ICML '08, Seite 160--167. ACM, ACM, (2008)