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Custom Named Entity Recognition (NER) definitions and terms

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Use this article to learn about some of the definitions and terms you may encounter when using custom NER.

Project

A project is a work area for building your custom AI models based on your data. Your project can only be accessed by you and other people who have contributor access to the Azure resource you are using. As a prerequisite to creating a custom entity extraction project, you have to connect your resource to a storage account with your dataset when you create a new project. Your project automatically includes all the .txt files available in your container.

Within your project you can do the following:

  • Tag your data: The process of tagging your data so that when you train your model it learns what you want to extract.
  • Build and train your model: The core step of your project, where your model starts learning from your tagged data.
  • View model evaluation details: Review your model performance to decide if there is room for improvement, or you are satisfied with the results.
  • Improve model: When you know what went wrong with your model, and how to improve performance.
  • Deploy model: Make your model available for use.
  • Test model: Test your model on a dataset.

Model

A model is an object that has been trained to do a certain task, in this case custom named entity recognition.

  • Model training is the process of teaching your model what to extract based on your tagged data.
  • Model evaluation is the process that happens right after training to know how well does your model perform.
  • Model deployment is the process of making it available for use.

Entity

An entity is a span of text that indicates a certain type of information. The text span can consist of one or more words (or tokens). In Custom Named Entity Recognition (NER), entities represent the information that you want to extract from the text.

For example, in the sentence "John borrowed 25,000 USD from Fred." the entities might be:

Entity name/type Entity
Borrower Name John
Lender Name Fred
Loan Amount 25,000 USD

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