Complex Relation Extraction: Challenges and Opportunities

Understand

Relation extraction aims to identify the target relations of entities in texts.

• Relation extraction is very important for knowledge base construction and text understanding.
• Traditional binary relation extraction, including supervised, semi-supervised and distant supervised ones, has been extensively studied and significant results are achieved.
• In recent years, many complex relation extraction tasks, i.e., the variants of simple binary relation extraction, are proposed to meet the complex applications in practice.