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AutoMeTS: The Autocomplete for Medical Text Simplification

AutoMeTS: The Autocomplete for Medical Text Simplification

20 October 2020
Hoang Van
David Kauchak
Gondy Leroy
ArXivPDFHTML

Papers citing "AutoMeTS: The Autocomplete for Medical Text Simplification"

6 / 6 papers shown
Title
Edit-Constrained Decoding for Sentence Simplification
Edit-Constrained Decoding for Sentence Simplification
Tatsuya Zetsu
Yuki Arase
Tomoyuki Kajiwara
27
0
0
28 Sep 2024
Autocompletion of Chief Complaints in the Electronic Health Records
  using Large Language Models
Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models
K. M. S. Islam
A. S. Nipu
Praveen Madiraju
Priya Deshpande
LM&MA
37
7
0
11 Jan 2024
Multilingual Simplification of Medical Texts
Multilingual Simplification of Medical Texts
Sebastian Antony Joseph
Kathryn Kazanas
Keziah Reina
Vishnesh J. Ramanathan
Wei-ping Xu
Byron C. Wallace
Junyi Jessy Li
35
13
0
21 May 2023
Med-EASi: Finely Annotated Dataset and Models for Controllable
  Simplification of Medical Texts
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts
Chandrayee Basu
Rosni Vasu
Michihiro Yasunaga
Qiang Yang
21
16
0
17 Feb 2023
A Dataset for Plain Language Adaptation of Biomedical Abstracts
A Dataset for Plain Language Adaptation of Biomedical Abstracts
Kush Attal
Brian D. Ondov
Dina Demner-Fushman
34
18
0
21 Oct 2022
Paper Plain: Making Medical Research Papers Approachable to Healthcare
  Consumers with Natural Language Processing
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing
Tal August
Lucy Lu Wang
Jonathan Bragg
Marti A. Hearst
Andrew Head
Kyle Lo
20
40
0
28 Feb 2022
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