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HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models

6 March 2025
Yao Ge
Yuting Guo
Sudeshna Das
Swati Rajwal
Selen Bozkurt
A. Sarker
    MedIm
    LM&MA
ArXivPDFHTML

Papers citing "HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models"

14 / 14 papers shown
Title
Homogenization Effects of Large Language Models on Human Creative
  Ideation
Homogenization Effects of Large Language Models on Human Creative Ideation
Barrett R Anderson
Jash Hemant Shah
Max Kreminski
52
79
0
02 Feb 2024
LaMDA: Language Models for Dialog Applications
LaMDA: Language Models for Dialog Applications
R. Thoppilan
Daniel De Freitas
Jamie Hall
Noam M. Shazeer
Apoorv Kulshreshtha
...
Blaise Aguera-Arcas
Claire Cui
M. Croak
Ed H. Chi
Quoc Le
ALM
122
1,589
0
20 Jan 2022
Medically Aware GPT-3 as a Data Generator for Medical Dialogue
  Summarization
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
Bharath Chintagunta
Namit Katariya
X. Amatriain
Anitha Kannan
LM&MA
MedIm
164
152
0
09 Sep 2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning
PPT: Pre-trained Prompt Tuning for Few-shot Learning
Yuxian Gu
Xu Han
Zhiyuan Liu
Minlie Huang
VLM
84
416
0
09 Sep 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
215
4,244
0
01 Jan 2021
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual
  Embeddings Using the Unified Medical Language System Metathesaurus
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus
George Michalopoulos
Yuanxin Wang
H. Kaka
Helen H. Chen
Alexander Wong
65
124
0
20 Oct 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
700
41,736
0
28 May 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
367
1,967
0
11 Apr 2020
Not Enough Data? Deep Learning to the Rescue!
Not Enough Data? Deep Learning to the Rescue!
Ateret Anaby-Tavor
Boaz Carmeli
Esther Goldbraich
Amir Kantor
George Kour
Segev Shlomov
N. Tepper
Naama Zwerdling
72
370
0
08 Nov 2019
Fully Quantized Transformer for Machine Translation
Fully Quantized Transformer for Machine Translation
Gabriele Prato
Ella Charlaix
Mehdi Rezagholizadeh
MQ
42
70
0
17 Oct 2019
Transfer Learning for Clinical Time Series Analysis using Deep Neural
  Networks
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks
Priyanka Gupta
Pankaj Malhotra
Jyoti Narwariya
Lovekesh Vig
Gautam M. Shroff
AI4TS
49
62
0
01 Apr 2019
Named Entity Recognition in Electronic Health Records Using Transfer
  Learning Bootstrapped Neural Networks
Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks
Luka Gligic
Andrey Kormilitzin
Paul W. Goldberg
A. Nevado-Holgado
70
83
0
06 Jan 2019
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
269
4,047
0
16 Nov 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
347
7,316
0
13 Jun 2016
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