1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction
Yu Zhang, Zhao Kang
Few-shot document-level relation extraction suffers from poor performance due to the challenging cross-domain transferability of NOTA (none-of-the-above) relation representation. I…
cs.CL2024★ 1 cited
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction
Xudong Zhu, Zhao Kang, Bei Hui
Document-level Relation Extraction (DocRE) aims to identify relation labels between entities within a single document. It requires handling several sentences and reasoning over the…