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Publicly Available Clinical BERT Embeddings

Publicly Available Clinical BERT Embeddings

6 April 2019
Emily Alsentzer
John R. Murphy
Willie Boag
W. Weng
Di Jin
Tristan Naumann
Matthew B. A. McDermott
    AI4MH
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Papers citing "Publicly Available Clinical BERT Embeddings"

50 / 806 papers shown
Title
BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining
BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining
Zachariah Zhang
Jingshu Liu
N. Razavian
25
73
0
26 May 2020
Med-BERT: pre-trained contextualized embeddings on large-scale
  structured electronic health records for disease prediction
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
L. Rasmy
Yang Xiang
Z. Xie
Cui Tao
Degui Zhi
AI4MH
LM&MA
24
656
0
22 May 2020
Extracting Daily Dosage from Medication Instructions in EHRs: An
  Automated Approach and Lessons Learned
Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned
Diwakar Mahajan
Jennifer J. Liang
Ching-Huei Tsou
6
8
0
21 May 2020
Closing the Gap: Joint De-Identification and Concept Extraction in the
  Clinical Domain
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain
Lukas Lange
Heike Adel
Jannik Strötgen
17
10
0
19 May 2020
Pre-training technique to localize medical BERT and enhance biomedical
  BERT
Pre-training technique to localize medical BERT and enhance biomedical BERT
Shoya Wada
Toshihiro Takeda
S. Manabe
Shozo Konishi
Jun Kamohara
Y. Matsumura
LM&MA
18
12
0
14 May 2020
Entity-Enriched Neural Models for Clinical Question Answering
Entity-Enriched Neural Models for Clinical Question Answering
Bhanu Pratap Singh Rawat
W. Weng
So Yeon Min
Preethi Raghavan
Peter Szolovits
23
18
0
13 May 2020
Detecting Adverse Drug Reactions from Twitter through Domain-Specific
  Preprocessing and BERT Ensembling
Detecting Adverse Drug Reactions from Twitter through Domain-Specific Preprocessing and BERT Ensembling
Amy Breden
L. Moore
25
13
0
11 May 2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text
  Mining
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
Yifan Peng
Qingyu Chen
Zhiyong Lu
8
112
0
06 May 2020
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Xiang Yue
Bernal Jimenez Gutierrez
Huan Sun
18
48
0
01 May 2020
Biomedical Entity Representations with Synonym Marginalization
Biomedical Entity Representations with Synonym Marginalization
Mujeen Sung
Hwisang Jeon
Jinhyuk Lee
Jaewoo Kang
6
128
0
01 May 2020
Data and Representation for Turkish Natural Language Inference
Data and Representation for Turkish Natural Language Inference
Emrah Budur
Rıza Özçelik
Tunga Güngör
Christopher Potts
14
1
0
30 Apr 2020
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER
  Identification
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
Tengteng Zhang
Yiqin Yu
Jing Mei
Zefang Tang
Xiang Zhang
Shaochun Li
19
10
0
30 Apr 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan
Ana Marasović
Swabha Swayamdipta
Kyle Lo
Iz Beltagy
Doug Downey
Noah A. Smith
VLM
AI4CE
CLL
42
2,358
0
23 Apr 2020
MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask
  Learning
MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning
Andriy Mulyar
Bridget T. McInnes
16
52
0
21 Apr 2020
Train No Evil: Selective Masking for Task-Guided Pre-Training
Train No Evil: Selective Masking for Task-Guided Pre-Training
Yuxian Gu
Zhengyan Zhang
Xiaozhi Wang
Zhiyuan Liu
Maosong Sun
32
59
0
21 Apr 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
6
317
0
20 Apr 2020
Enhancing Pharmacovigilance with Drug Reviews and Social Media
Enhancing Pharmacovigilance with Drug Reviews and Social Media
Brent Biseda
K. Mo
14
11
0
18 Apr 2020
Augmented Curation of Unstructured Clinical Notes from a Massive EHR
  System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis
Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis
F. Shweta
K. Murugadoss
S. Awasthi
A. Venkatakrishnan
Arjun Puranik
...
G. Gores
A. Williams
J. Halamka
V. Soundararajan
A. Badley
8
26
0
17 Apr 2020
Robustly Pre-trained Neural Model for Direct Temporal Relation
  Extraction
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction
Hong Guan
Jianfu Li
Hua Xu
M. Devarakonda
12
10
0
13 Apr 2020
Annotating Social Determinants of Health Using Active Learning, and
  Characterizing Determinants Using Neural Event Extraction
Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction
K. Lybarger
Mari Ostendorf
Meliha Yetisgen
18
68
0
11 Apr 2020
CALM: Continuous Adaptive Learning for Language Modeling
CALM: Continuous Adaptive Learning for Language Modeling
Kristjan Arumae
Parminder Bhatia
CLL
KELM
27
6
0
08 Apr 2020
Inexpensive Domain Adaptation of Pretrained Language Models: Case
  Studies on Biomedical NER and Covid-19 QA
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA
Nina Poerner
Ulli Waltinger
Hinrich Schütze
OOD
6
49
0
07 Apr 2020
Continual Domain-Tuning for Pretrained Language Models
Continual Domain-Tuning for Pretrained Language Models
Subendhu Rongali
Abhyuday N. Jagannatha
Bhanu Pratap Singh Rawat
Hong-ye Yu
CLL
KELM
8
7
0
05 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
H. Zhang
Amy X. Lu
Mohamed Abdalla
Matthew B. A. McDermott
Marzyeh Ghassemi
10
171
0
11 Mar 2020
Med7: a transferable clinical natural language processing model for
  electronic health records
Med7: a transferable clinical natural language processing model for electronic health records
Andrey Kormilitzin
N. Vaci
Qiang Liu
A. Nevado-Holgado
22
115
0
03 Mar 2020
Federated pretraining and fine tuning of BERT using clinical notes from
  multiple silos
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
Dianbo Liu
Timothy A. Miller
AI4MH
38
34
0
20 Feb 2020
Automated Labelling using an Attention model for Radiology reports of
  MRI scans (ALARM)
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
D. Wood
J. Lynch
S. Kafiabadi
Emily Guilhem
A. A. Busaidi
...
Keena Patel
Gareth J. Barker
S. Ourselin
James H. Cole
Thomas C Booth
MedIm
20
42
0
16 Feb 2020
Application of Pre-training Models in Named Entity Recognition
Application of Pre-training Models in Named Entity Recognition
Yu Wang
Yining Sun
Zuchang Ma
Lisheng Gao
Yang Xu
Ting Sun
18
20
0
09 Feb 2020
UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B,
  Phase-B
UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B
Sai Krishna Telukuntla
Aditya Kapri
Wlodek Zadrozny
6
9
0
05 Feb 2020
MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition
  using Deep Bidirectional Transformers
MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers
Muhammad Raza Khan
Morteza Ziyadi
M. Abdelhady
MedIm
12
44
0
24 Jan 2020
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting
  Prolonged Mechanical Ventilation
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
Kexin Huang
Abhishek Singh
Sitong Chen
E. Moseley
Chih-ying Deng
Naomi George
C. Lindvall
59
57
0
27 Dec 2019
Medication Regimen Extraction From Medical Conversations
Medication Regimen Extraction From Medical Conversations
Sai P. Selvaraj
Sandeep Konam
MedIm
11
18
0
10 Dec 2019
Self-Supervised Contextual Language Representation of Radiology Reports
  to Improve the Identification of Communication Urgency
Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency
Xing Meng
C. Ganoe
R. Sieberg
Yvonne Y. Cheung
Saeid Hassanpour
MedIm
11
12
0
05 Dec 2019
EduBERT: Pretrained Deep Language Models for Learning Analytics
EduBERT: Pretrained Deep Language Models for Learning Analytics
Benjamin Clavié
K. Gal
6
15
0
02 Dec 2019
Factorized Multimodal Transformer for Multimodal Sequential Learning
Factorized Multimodal Transformer for Multimodal Sequential Learning
Amir Zadeh
Chengfeng Mao
Kelly Shi
Yiwei Zhang
Paul Pu Liang
Soujanya Poria
Louis-Philippe Morency
25
43
0
22 Nov 2019
Evaluating robustness of language models for chief complaint extraction
  from patient-generated text
Evaluating robustness of language models for chief complaint extraction from patient-generated text
Ilya Valmianski
Caleb Goodwin
Ian M. Finn
Naqi Khan
D. Zisook
24
6
0
15 Nov 2019
Adapting and evaluating a deep learning language model for clinical
  why-question answering
Adapting and evaluating a deep learning language model for clinical why-question answering
Andrew Wen
Mohamed Y. Elwazir
Sungrim Moon
Jungwei Fan
LM&MA
16
31
0
13 Nov 2019
Phenotyping of Clinical Notes with Improved Document Classification
  Models Using Contextualized Neural Language Models
Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models
Andriy Mulyar
Elliot Schumacher
Masoud Rouhizadeh
Mark Dredze
19
39
0
30 Oct 2019
Clinical Concept Extraction: a Methodology Review
Clinical Concept Extraction: a Methodology Review
S. Fu
David C. Chen
Huan He
Sijia Liu
Sungrim Moon
...
Yanshan Wang
Andrew Wen
Yiqing Zhao
S. Sohn
Hongfang Liu
17
3
0
24 Oct 2019
Progress Notes Classification and Keyword Extraction using
  Attention-based Deep Learning Models with BERT
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT
Matthew Tang
P. Gandhi
Md. Ahsanul Kabir
C. Zou
J. Blakey
Xiao Luo
30
38
0
13 Oct 2019
Extracting UMLS Concepts from Medical Text Using General and
  Domain-Specific Deep Learning Models
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models
Sicong Tang
Feitong Tan
Berry de Bruijn
Muqun Li
A. LaPlante
P. Tan
19
13
0
03 Oct 2019
Representation Learning for Electronic Health Records
Representation Learning for Electronic Health Records
W. Weng
Peter Szolovits
33
19
0
19 Sep 2019
Pre-trained Language Model for Biomedical Question Answering
Pre-trained Language Model for Biomedical Question Answering
Wonjin Yoon
Jinhyuk Lee
Donghyeon Kim
Minbyul Jeong
Jaewoo Kang
AI4MH
11
85
0
18 Sep 2019
HARE: a Flexible Highlighting Annotator for Ranking and Exploration
HARE: a Flexible Highlighting Annotator for Ranking and Exploration
Denis R. Newman-Griffis
Eric Fosler-Lussier
12
11
0
29 Aug 2019
TAPER: Time-Aware Patient EHR Representation
TAPER: Time-Aware Patient EHR Representation
Sajad Darabi
Mohammad Kachuee
Shayan Fazeli
Majid Sarrafzadeh
27
56
0
11 Aug 2019
BERT-based Ranking for Biomedical Entity Normalization
BERT-based Ranking for Biomedical Entity Normalization
Zongcheng Ji
Qiang Wei
Hua Xu
OOD
MedIm
22
121
0
09 Aug 2019
UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical
  Natural Language Inference
UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference
William R. Kearns
Wilson Lau
Jason Thomas
13
3
0
09 Jul 2019
REflex: Flexible Framework for Relation Extraction in Multiple Domains
REflex: Flexible Framework for Relation Extraction in Multiple Domains
Geeticka Chauhan
Matthew B. A. McDermott
Peter Szolovits
11
13
0
19 Jun 2019
Transfer Learning in Biomedical Natural Language Processing: An
  Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Yifan Peng
Shankai Yan
Zhiyong Lu
LM&MA
AI4MH
15
830
0
13 Jun 2019
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