Integrating tagtog and spaCy: a simple example

These entity types maps to the labels for the spaCy model
  1. Given a sample text, it forwards it to the en_core_web_sm model.
  2. It transforms the model response into annotations.
  3. It pushes the text and annotations (pre-annotated document) using its API.
On the right side you find the different entity types found in the text. A user can correct the predictions of your model and then you can use this data for further training.




The text annotation platform to train #NLP. Easy.

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The text annotation platform to train #NLP. Easy.

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