3 citations · 8 across the 11 of their papers we have counts for
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cs.CL2022
PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasets
Jinghui Lu, Rui Zhao, Brian Mac Namee +1
Much of named entity recognition (NER) research focuses on developing dataset-specific models based on data from the domain of interest, and a limited set of related entity types.…
cs.CL2022★ 3 cited
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
Dongsheng Zhu, Zhenyu Mao, Jinghui Lu +2
Contrastive learning has recently achieved compelling performance in unsupervised sentence representation. As an essential element, data augmentation protocols, however, have not b…
cs.CL2022★ 3 cited
What Makes Pre-trained Language Models Better Zero-shot Learners?
Jinghui Lu, Dongsheng Zhu, Weidong Han +3
Current methods for prompt learning in zeroshot scenarios widely rely on a development set with sufficient human-annotated data to select the best-performing prompt template a post…