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20202026
most citedDifferentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

75 citations · 244 across the 21 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.AI2021

Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training

Ganqiang Ye, Wen Zhang, Zhen Bi +3

Representation learning models for Knowledge Graphs (KG) have proven to be effective in encoding structural information and performing reasoning over KGs. In this paper, we propose…

cs.CL2021★ 3 cited

Learning to Ask for Data-Efficient Event Argument Extraction

Hongbin Ye, Ningyu Zhang, Zhen Bi +5

Event argument extraction (EAE) is an important task for information extraction to discover specific argument roles. In this study, we cast EAE as a question-based cloze task and e…

cs.CL2021★ 75 cited

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

Ningyu Zhang, Luoqiu Li, Xiang Chen +5

Large-scale pre-trained language models have contributed significantly to natural language processing by demonstrating remarkable abilities as few-shot learners. However, their eff…

cs.CL2021★ 24 cited

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Ningyu Zhang, Mosha Chen, Zhen Bi +20

Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice. With the development of biomedical langua…

cs.CL2021★ 2 cited

Interventional Aspect-Based Sentiment Analysis

Zhen Bi, Ningyu Zhang, Ganqiang Ye +3

Recent neural-based aspect-based sentiment analysis approaches, though achieving promising improvement on benchmark datasets, have reported suffering from poor robustness when enco…

cs.CL2021★ 2 cited

Disentangled Contrastive Learning for Learning Robust Textual Representations

Xiang Chen, Xin Xie, Zhen Bi +4

Although the self-supervised pre-training of transformer models has resulted in the revolutionizing of natural language processing (NLP) applications and the achievement of state-o…

cs.AI2021★ 1 cited

Text-guided Legal Knowledge Graph Reasoning

Luoqiu Li, Zhen Bi, Hongbin Ye +3

Recent years have witnessed the prosperity of legal artificial intelligence with the development of technologies. In this paper, we propose a novel legal application of legal provi…