Feature Request: Relation Extraction - Extract Relationships Between Entities

[HsiangNianian]

Relation extraction is used to detect and extract the relationships between named entities in text (e.g., "Barack Obama was born in Hawaii"). This task will develop a system to identify these relationships for knowledge graph construction and semantic analysis.

Relationship Types: What kinds of relationships should be identified (e.g., birthplace, employment, affiliation)?
Modeling: Should we use traditional methods like rule-based extraction or deep learning-based models?
Dataset: What annotated datasets will we use for training the model?

Expected Outcome

• A working relation extraction model that can identify relationships between entities in various contexts.
• Integration with iamai's NER system for a seamless extraction pipeline.