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  3. Natural Language Processing with spaCy

Exercise

Training preparation steps

Before and during training of a spaCy model, you'll need to (1) disable other pipeline components in order to only train the intended component and (2) convert a Doc container of a training data point and its corresponding annotations into an Example class.

In this exercise, you will practice these two steps by using a pre-loaded en_core_web_sm model, which is accessible as nlp. Example class is already imported and a text string and related annotations are also available for your use.

Instructions

100 XP
  • Disable all pipeline components of the nlp model except ner.
  • Convert a text string and its annotations to the correct format usable for training.