Table 3 shows that EE and CM reduce FL errors by 4+%, suggesting that the aggregation of non-local features indeed leads to more conservative linking decisions.
adapting an advanced encoder shows higher impact on WL errors, as SpanBERT reduces almost 10% compared to BERT, implying that representation learning is still more important for semantic matching.