Introduction
Custom named entity recognition (NER), otherwise known as custom entity extraction, is one of the many features for natural language processing (NLP) offered by Azure AI Language service. Custom NER enables developers to extract predefined entities from text documents, without those documents being in a known format - such as legal agreements or online ads.
An entity is a person, place, thing, event, skill, or value.
In this module, you'll learn how to use the Azure AI Language service to extract entities from unstructured documents.
After completing this module, you'll be able to:
- Understand custom named entities and how they're labeled.
- Build a custom named entity extraction project.
- Label data, train, and deploy an entity extraction model.
- Submit extraction tasks from your own app.