Named entity linking (NEL) is the process of detecting and linking entity mentions in a given text to corresponding entities in a target knowledge base.
There are two parts to entity linking:
Named-entity recognition (NER) detects and classifies potential named entities in the text into predefined categories such as a person, organization, location, medical code, time expression, etc. (multi-class prediction).
Next, disambiguation disambiguates each detected entity by linking it to its corresponding entity in the knowledge base.
📝 The target knowledge base depends on the application, but for generic systems, a common choice is Wikidata or DBpedia.
Let’s see entity linking in action in the following example.