What is entity linking in Azure AI Language?

Entity linking is one of the features offered by Azure AI Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. Entity linking identifies and disambiguates the identity of entities found in text. For example, in the sentence "We went to Seattle last week.", the word "Seattle" would be identified, with a link to more information on Wikipedia.

This documentation contains the following types of articles:

• Quickstarts are getting-started instructions to guide you through making requests to the service.
• How-to guides contain instructions for using the service in more specific ways.

To use entity linking, you submit raw unstructured text for analysis and handle the API output in your application. Analysis is performed as-is, with no additional customization to the model used on your data. There are two ways to use entity linking:

As you use this feature in your applications, see the following reference documentation and samples for Azure AI Language:

An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Read the transparency note for entity linking to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:

• Transparency note for Azure AI Language
• Integration and responsible use
• Data, privacy, and security

There are two ways to get started using the entity linking feature:

• Language Studio, which is a web-based platform that enables you to try several Azure AI Language features without needing to write code.
• The quickstart article for instructions on making requests to the service using the REST API and client library SDK.