Entity Linking

What is Entity Linking?

Entity Linking is a natural language processing task that involves identifying and disambiguating mentions of real-world entities, such as people, organizations, and locations, within a text. The goal of entity linking is to map entity mentions to their corresponding entries in a knowledge base or an external database, enabling the extraction of structured information from unstructured text.

Example of Entity Linking using SpaCy in Python:

import spacy

# Load the SpaCy English model with NER support
nlp = spacy.load("en_core_web_sm")

# Process a text with entity mentions
text = "Apple is an American technology company headquartered in Cupertino, California."
doc = nlp(text)

# Print the entity mentions and their links to the knowledge base
for ent in doc.ents:
    print(ent.text, ent.label_, ent.kb_id_)

In this example, we use the SpaCy library to perform entity linking on a sample text. The output displays the entity mentions, their labels, and their knowledge base IDs.