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PoKE: A Prompt-based Knowledge Eliciting Approach for Event Argument
  Extraction

PoKE: A Prompt-based Knowledge Eliciting Approach for Event Argument Extraction

11 September 2021
Jiaju Lin
Qin Chen
ArXivPDFHTML

Papers citing "PoKE: A Prompt-based Knowledge Eliciting Approach for Event Argument Extraction"

3 / 3 papers shown
Title
Ontology-enhanced Prompt-tuning for Few-shot Learning
Ontology-enhanced Prompt-tuning for Few-shot Learning
Hongbin Ye
Ningyu Zhang
Shumin Deng
Xiang Chen
Hui Chen
Feiyu Xiong
Xi Chen
Huajun Chen
113
62
0
27 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,843
0
18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,586
0
21 Jan 2020
1