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InstructionNER: A Multi-Task Instruction-Based Generative Framework for
  Few-shot NER

InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER

8 March 2022
Liwen Wang
Rumei Li
Yang Yan
Yuanmeng Yan
Sirui Wang
Wei Yu Wu
Weiran Xu
ArXivPDFHTML

Papers citing "InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER"

5 / 5 papers shown
Title
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment
  Pre-training for Noisy Slot Filling Task
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task
Jinxu Zhao
Guanting Dong
Yueyan Qiu
Tingfeng Hui
Xiaoshuai Song
Daichi Guo
Weiran Xu
29
1
0
22 Feb 2024
Looking Right is Sometimes Right: Investigating the Capabilities of
  Decoder-only LLMs for Sequence Labeling
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling
David Dukić
Jan Šnajder
24
12
0
25 Jan 2024
BioTABQA: Instruction Learning for Biomedical Table Question Answering
BioTABQA: Instruction Learning for Biomedical Table Question Answering
Man Luo
S. Saxena
Swaroop Mishra
Mihir Parmar
Chitta Baral
LMTD
157
15
0
06 Jul 2022
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,919
0
31 Dec 2020
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
1,589
0
21 Jan 2020
1