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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

3 October 2019
Sicong Tang
Feitong Tan
Berry de Bruijn
Muqun Li
A. LaPlante
P. Tan
ArXivPDFHTML

Papers citing "Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models"

4 / 4 papers shown
Title
Multi-domain Clinical Natural Language Processing with MedCAT: the
  Medical Concept Annotation Toolkit
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit
Z. Kraljevic
Thomas Searle
Anthony Shek
Lukasz Roguski
Kawsar Noor
...
A. Shah
W. K. Wong
Zina M. Ibrahim
J. Teo
Richard J. B. Dobson
AI4MH
33
161
0
02 Oct 2020
MedCAT -- Medical Concept Annotation Tool
MedCAT -- Medical Concept Annotation Tool
Z. Kraljevic
D. Bean
Aurelie Mascio
Lukasz Roguski
A. Folarin
A. Roberts
R. Bendayan
Richard J. B. Dobson
MedIm
13
29
0
18 Dec 2019
Joint Entity Extraction and Assertion Detection for Clinical Text
Joint Entity Extraction and Assertion Detection for Clinical Text
Parminder Bhatia
B. Celikkaya
Mohammed Khalilia
MedIm
37
32
0
13 Dec 2018
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
716
6,746
0
26 Sep 2016
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