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Leveraging Prompt-Learning for Structured Information Extraction from
  Crohn's Disease Radiology Reports in a Low-Resource Language

Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language

2 May 2024
L. Hazan
G. Focht
N. Gavrielov
R. Reichart
Talar Hagopian
M. Greer
R. Cytter-Kuint
Dan Turner
M. Freiman
    MedIm
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Papers citing "Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language"

3 / 3 papers shown
Title
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
107
972
0
15 Sep 2020
CheXbert: Combining Automatic Labelers and Expert Annotations for
  Accurate Radiology Report Labeling Using BERT
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Akshay Smit
Saahil Jain
Pranav Rajpurkar
Anuj Pareek
A. Ng
M. Lungren
MedIm
39
331
0
20 Apr 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
328
1,613
0
21 Jan 2020
1