Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Table 4: Number of labeling functions and the relation types they can annotated w.r.t. two kinds of information
['Kind', 'Wiki-KBP #Types', 'Wiki-KBP #LF', 'NYT #Types', 'NYT #LF']
We can observe that heuristic patterns can identify more relation types for KBP datasets, while for NYT datasets, knowledge base can provide supervision for more relation types. This observation aligns with our intuition that single kind of information might be insufficient while different kinds of information can complement each other.