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Clinical information extraction for Low-resource languages with Few-shot
  learning using Pre-trained language models and Prompting

Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting

20 March 2024
Phillip Richter-Pechanski
Philipp Wiesenbach
Dominic M. Schwab
Christina Kiriakou
Nicolas Geis
Christoph Dieterich
Anette Frank
ArXivPDFHTML

Papers citing "Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting"

4 / 4 papers shown
Title
A Study of Generative Large Language Model for Medical Research and
  Healthcare
A Study of Generative Large Language Model for Medical Research and Healthcare
C.A.I. Peng
Xi Yang
Aokun Chen
Kaleb E. Smith
Nima M. Pournejatian
...
W. Hogan
E. Shenkman
Yi Guo
Jiang Bian
Yonghui Wu
LM&MA
ELM
AI4MH
152
242
0
22 May 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
316
4,077
0
24 May 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
1,588
0
21 Jan 2020
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