What is entity linking in Azure Cognitive Service for Language?
Entity linking is one of the features offered by Azure Cognitive Service for 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 this feature, you submit data 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.
Create an Azure Language resource, which grants you access to the features offered by Azure Cognitive Service for Language. It will generate a password (called a key) and an endpoint URL that you'll use to authenticate API requests.
Send the request containing your data as raw unstructured text. Your key and endpoint will be used for authentication.
Stream or store the response locally.
The result will be a collection of recognized entities in your text, with URLs to Wikipedia as an online knowledge base.
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 Cognitive Service for Language
- Integration and responsible use
- Data, privacy, and security
There are two ways to get started using the entity linking feature:
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