# Relation Extraction

> Source: https://sukruyusufkaya.com/en/glossary/relation-extraction
> Updated: 2026-05-13T20:00:12.965Z
> Type: glossary
> Category: dogal-dil-isleme
**TLDR:** The task of identifying meaningful relation types between entities mentioned in text.

<p>Relation extraction enables information extraction systems to move from entity-level recognition to event and network-level understanding. Examples include person-company relations, drug-disease interactions, or organization-decision links. Strong relation extraction systems play an important role in knowledge graph construction, exploratory analysis, and enterprise insight generation. Not only co-occurrence but also contextual semantics and syntactic structure are critical.</p>