57 citations · 112 across the 8 of their papers we have counts for
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cs.CL2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
Qingyu Tan, Lu Xu, Lidong Bing +1
Relation extraction (RE) aims to extract relations from sentences and documents. Existing relation extraction models typically rely on supervised machine learning. However, recent…
cs.CL2023★ 1 cited
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition
Lu Xu, Lidong Bing, Wei Lu
Distantly supervised named entity recognition (DS-NER) has been proposed to exploit the automatically labeled training data instead of human annotations. The distantly annotated da…