作者位次 #4/6ACL 2026Findings· Findings of ACL
RCTEA : Richness-guided Co-training for Temporal Entity Alignment
Jiayun Li · Wen Hua · Shiqi Fan · Fengmei Jin · Haiyang Jiang · Xue Li
摘要
Temporal Entity Alignment (TEA), which aims to identify equivalent entities across Temporal Knowledge Graphs (TKGs), is crucial for integrating knowledge facts from multiple sources. However, existing TEA models often fail to capture the orthogonal yet complementary effect between structural and...