Intermediate · NLP

Relation Extraction

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. Identifying and classifying semantic relationships between named entities in text.

Technical Definition

Identifying and classifying semantic relationships between named entities in text.

How it works

Relation extraction aims to uncover structured facts from unstructured text, for example, identifying that 'located_in(IBM, Armonk)' from the sentence 'IBM is headquartered in Armonk.' This process is crucial for building knowledge graphs and populating databases, allowing AI systems to understand connections between pieces of information.