menu

The information in our interactive Radar is currently only available in English. To get information in your native language, please download the PDF here.

Techniques

Transfer learning for NLP

Apr 2019
assess?

Transfer learning has been quite effective within the field of computer vision, speeding the time to train a model by reusing existing models. Those of us who work in machine learning are excited that the same techniques can be applied to natural language processing (NLP) with the publication of ULMFiT and open source pretrained models and code examples. We think transfer learning for NLP will significantly reduce the effort to create systems dealing with text classification.