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DICE: Data-Efficient Clinical Event Extraction with Generative Models

DICE: Data-Efficient Clinical Event Extraction with Generative Models

16 August 2022
Mingyu Derek Ma
Alex S. Taylor
Wei Wang
Nanyun Peng
    MedIm
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Papers citing "DICE: Data-Efficient Clinical Event Extraction with Generative Models"

4 / 4 papers shown
Title
Extracting Social Determinants of Health from Pediatric Patient Notes
  Using Large Language Models: Novel Corpus and Methods
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods
Yujuan Fu
Giridhar Kaushik Ramachandran
Nicholas J. Dobbins
Namu Park
Michael Leu
Abby R. Rosenberg
K. Lybarger
Fei Xia
Özlem Uzuner
Meliha Yetisgen
16
4
0
31 Mar 2024
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
107
44
0
27 Jan 2022
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
Mingyu Derek Ma
Muhao Chen
Te-Lin Wu
Nanyun Peng
30
22
0
22 Sep 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model
  Pretraining
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng
Chenyan Xiong
Payal Bajaj
Saurabh Tiwary
Paul N. Bennett
Jiawei Han
Xia Song
114
201
0
16 Feb 2021
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