Technical GlossaryNatural Language Processing

Relation Extraction

The task of identifying meaningful relation types between entities mentioned in text.

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.