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cs.CL2022
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach
Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied +2
Relation extraction has the potential for large-scale knowledge graph construction, but current methods do not consider the qualifier attributes for each relation triplet, such as…
cs.CL2022★ 8 cited
Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction
Qingyu Tan, Lu Xu, Lidong Bing +2
The DocRED dataset is one of the most popular and widely used benchmarks for document-level relation extraction (RE). It adopts a recommend-revise annotation scheme so as to have a…