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Benchmarking for Biomedical Natural Language Processing Tasks with a
  Domain Specific ALBERT

Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

9 July 2021
Usman Naseem
A. Dunn
Matloob Khushi
Jinman Kim
    OODLM&MAAI4MH
ArXiv (abs)PDFHTML

Papers citing "Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT"

18 / 18 papers shown
Title
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&MAAILaw
219
174
0
28 Jan 2025
Improving Biomedical Pretrained Language Models with Knowledge
Improving Biomedical Pretrained Language Models with Knowledge
Zheng Yuan
Yijia Liu
Chuanqi Tan
Songfang Huang
Fei Huang
58
92
0
21 Apr 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&MAMedIm
93
170
0
16 Apr 2021
BioALBERT: A Simple and Effective Pre-trained Language Model for
  Biomedical Named Entity Recognition
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition
Usman Naseem
Matloob Khushi
V. Reddy
S. Rajendran
Imran Razzak
Jinman Kim
58
63
0
19 Sep 2020
Domain-Specific Language Model Pretraining for Biomedical Natural
  Language Processing
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu
Robert Tinn
Hao Cheng
Michael R. Lucas
Naoto Usuyama
Xiaodong Liu
Tristan Naumann
Jianfeng Gao
Hoifung Poon
LM&MAAI4CE
114
1,782
0
31 Jul 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
57
50
0
07 Apr 2020
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSLAIMat
373
6,467
0
26 Sep 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&MAAI4MH
71
845
0
13 Jun 2019
Probing Biomedical Embeddings from Language Models
Probing Biomedical Embeddings from Language Models
Qiao Jin
Bhuwan Dhingra
William W. Cohen
Xinghua Lu
65
116
0
03 Apr 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks,
  Resources, and Approaches
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks
Qiaozi Gao
J. Chai
71
132
0
02 Apr 2019
SciBERT: A Pretrained Language Model for Scientific Text
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy
Kyle Lo
Arman Cohan
168
2,985
0
26 Mar 2019
Enhancing Clinical Concept Extraction with Contextual Embeddings
Enhancing Clinical Concept Extraction with Contextual Embeddings
Yuqi Si
Jingqi Wang
Hua Xu
Kirk Roberts
AI4MH
52
291
0
22 Feb 2019
BioBERT: a pre-trained biomedical language representation model for
  biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
OOD
178
5,672
0
25 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Lessons from Natural Language Inference in the Clinical Domain
Lessons from Natural Language Inference in the Clinical Domain
Alexey Romanov
Chaitanya P. Shivade
LM&MA
80
272
0
21 Aug 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
233
11,566
0
15 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
766
132,363
0
12 Jun 2017
An Empirical Study and Analysis of Generalized Zero-Shot Learning for
  Object Recognition in the Wild
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
Wei-Lun Chao
Soravit Changpinyo
Boqing Gong
Fei Sha
72
568
0
13 May 2016
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