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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

20 October 2020
George Michalopoulos
Yuanxin Wang
H. Kaka
Helen H. Chen
Alexander Wong
ArXivPDFHTML

Papers citing "UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus"

23 / 23 papers shown
Title
Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition
Linh Le
Guido Zuccon
Gianluca Demartini
Genghong Zhao
Xia Zhang
58
1
0
07 Mar 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Min Zhang
LM&MA
AILaw
101
155
0
28 Jan 2025
"I Wish There Were an AI": Challenges and AI Potential in Cancer
  Patient-Provider Communication
"I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication
Ziqi Yang
Xuhai Xu
Bingsheng Yao
Jiachen Li
Jennifer Bagdasarian
G. Gao
Dakuo Wang
35
3
0
20 Apr 2024
Knowledge-tuning Large Language Models with Structured Medical Knowledge
  Bases for Reliable Response Generation in Chinese
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
Hao Wang
Sendong Zhao
Zewen Qiang
Zijian Li
Nuwa Xi
...
Haoqiang Guo
Yuhan Chen
Haoming Xu
Bing Qin
Ting Liu
LM&MA
AI4MH
34
17
0
08 Sep 2023
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition
Aidan Mannion
Thierry Chevalier
D. Schwab
Lorraine Goeuriot
MedIm
51
3
0
20 Jul 2023
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
Aryo Pradipta Gema
Pasquale Minervini
Luke Daines
Tom Hope
Beatrice Alex
LM&MA
ALM
36
40
0
06 Jul 2023
ChatGPT for Shaping the Future of Dentistry: The Potential of
  Multi-Modal Large Language Model
ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model
Hanyao Huang
Ou Zheng
Dongdong Wang
Jiayi Yin
Zijin Wang
...
H. Yin
Chuan Xu
Renjie Yang
Q. Zheng
B. Shi
MedIm
AI4MH
AI4CE
LM&MA
58
176
0
23 Mar 2023
Applying unsupervised keyphrase methods on concepts extracted from
  discharge sheets
Applying unsupervised keyphrase methods on concepts extracted from discharge sheets
Hoda Memarzadeh
Nasser Ghadiri
Matthias Samwald
Maryam Lotfi Shahreza
44
0
0
15 Mar 2023
Generating multiple-choice questions for medical question answering with
  distractors and cue-masking
Generating multiple-choice questions for medical question answering with distractors and cue-masking
Damien Sileo
Kanimozhi Uma
Marie-Francine Moens
43
5
0
13 Mar 2023
A Comparative Study of Pretrained Language Models for Long Clinical Text
A Comparative Study of Pretrained Language Models for Long Clinical Text
Yikuan Li
R. M. Wehbe
F. Ahmad
Hanyin Wang
Yuan Luo
LM&MA
ELM
VLM
MedIm
29
79
0
27 Jan 2023
Developing a general-purpose clinical language inference model from a
  large corpus of clinical notes
Developing a general-purpose clinical language inference model from a large corpus of clinical notes
Madhumita Sushil
Dana Ludwig
A. Butte
V. Rudrapatna
LM&MA
12
12
0
12 Oct 2022
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and
  Contextualized Masked Language Model Score
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score
Sunjae Kwon
Zonghai Yao
H. Jordan
David Levy
Brian Corner
Hong-ye Yu
27
18
0
12 Oct 2022
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand
  Rare Biomedical Words
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
Hao Wang
Chi-Liang Liu
Nuwa Xi
Sendong Zhao
Meizhi Ju
Shiwei Zhang
Ziheng Zhang
Yefeng Zheng
Bing Qin
Ting Liu
VLM
AAML
LM&MA
41
6
0
14 Sep 2022
Review of Natural Language Processing in Pharmacology
Review of Natural Language Processing in Pharmacology
D. Trajanov
Vangel Trajkovski
Makedonka Dimitrieva
Jovana Dobreva
Milos Jovanovik
Matej Klemen
Alevs vZagar
Marko Robnik-vSikonja
LM&MA
36
7
0
22 Aug 2022
Decorate the Examples: A Simple Method of Prompt Design for Biomedical
  Relation Extraction
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
Hui-Syuan Yeh
Thomas Lavergne
Pierre Zweigenbaum
21
10
0
21 Apr 2022
EHRKit: A Python Natural Language Processing Toolkit for Electronic
  Health Record Texts
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts
Irene Z Li
Keen You
Yujie Qiao
Lucas Huang
Chia-Chun Hsieh
Benjamin Rosand
Xiangru Tang
Dragomir R. Radev
45
4
0
13 Apr 2022
Literature-Augmented Clinical Outcome Prediction
Literature-Augmented Clinical Outcome Prediction
Aakanksha Naik
Sravanthi Parasa
Sergey Feldman
Lucy Lu Wang
Tom Hope
LM&MA
26
25
0
16 Nov 2021
Coreference Resolution for the Biomedical Domain: A Survey
Coreference Resolution for the Biomedical Domain: A Survey
Pengcheng Lu
Massimo Poesio
34
15
0
25 Sep 2021
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in
  the UMLS Metathesaurus
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus
Goonmeet Bajaj
Vinh Phu Nguyen
Thilini Wijesiriwardene
H. Y. Yip
Vishesh Javangula
Srinivasan Parthasarathy
A. Sheth
O. Bodenreider
16
1
0
14 Sep 2021
Probing Pre-Trained Language Models for Disease Knowledge
Probing Pre-Trained Language Models for Disease Knowledge
Israa Alghanmi
Luis Espinosa-Anke
Steven Schockaert
LM&MA
ELM
33
13
0
14 Jun 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language
  Models
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models
Katikapalli Subramanyam Kalyan
A. Rajasekharan
S. Sangeetha
LM&MA
MedIm
26
164
0
16 Apr 2021
Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes
  Using Deep Learning with Weak Supervision
Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision
Zitao Shen
Yoonkwon Yi
A. Bompelli
Fang Yu
Yanshan Wang
Rui Zhang
19
11
0
22 Jan 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,748
0
26 Sep 2016
1