3 citations · 7 across the 4 of their papers we have counts for
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cs.CL2023
MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition
Shuhui Wu, Yongliang Shen, Zeqi Tan +4
Distantly supervised named entity recognition (DS-NER) aims to locate entity mentions and classify their types with only knowledge bases or gazetteers and unlabeled corpus. However…
cs.CL2023★ 3 cited
PromptNER: Prompt Locating and Typing for Named Entity Recognition
Yongliang Shen, Zeqi Tan, Shuhui Wu +5
Prompt learning is a new paradigm for utilizing pre-trained language models and has achieved great success in many tasks. To adopt prompt learning in the NER task, two kinds of met…
cs.CL2022★ 2 cited
Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition
Shuhui Wu, Yongliang Shen, Zeqi Tan +1
Nested named entity recognition (nested NER) is a fundamental task in natural language processing. Various span-based methods have been proposed to detect nested entities with span…