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Leveraging Pretrained Models for Automatic Summarization of
  Doctor-Patient Conversations

Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations

24 September 2021
Longxiang Zhang
Renato M. P. Negrinho
Arindam Ghosh
V. Jagannathan
H. Hassanzadeh
Thomas Schaaf
Matthew R. Gormley
    LM&MA
    AI4MH
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Papers citing "Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations"

7 / 7 papers shown
Title
Natural Language Generation in Healthcare: A Review of Methods and Applications
Natural Language Generation in Healthcare: A Review of Methods and Applications
Mengxian Lyu
Xiaohan Li
Ziyi Chen
Jinqian Pan
Cheng Peng
Sankalp Talankar
Yonghui Wu
LM&MA
44
0
0
07 May 2025
Query-Guided Self-Supervised Summarization of Nursing Notes
Query-Guided Self-Supervised Summarization of Nursing Notes
Ya Gao
H. Moen
S. Koivusalo
M. Koskinen
Pekka Marttinen
42
1
0
04 Jul 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
68
80
0
05 Mar 2024
Responsible AI Considerations in Text Summarization Research: A Review
  of Current Practices
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices
Yu Lu Liu
Meng Cao
Su Lin Blodgett
Jackie Chi Kit Cheung
Alexandra Olteanu
Adam Trischler
26
1
0
18 Nov 2023
A Survey on Medical Document Summarization
A Survey on Medical Document Summarization
Raghav Jain
Anubhav Jangra
S. Saha
Adam Jatowt
3DGS
MedIm
39
19
0
03 Dec 2022
Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches
  and Future Directions
Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions
Qi Jia
Yizhu Liu
Siyu Ren
Kenny Q. Zhu
29
6
0
18 Oct 2022
Summarizing Patients Problems from Hospital Progress Notes Using
  Pre-trained Sequence-to-Sequence Models
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models
Yanjun Gao
Dmitriy Dligach
T. Miller
Dongfang Xu
M. Churpek
Majid Afshar
AI4MH
22
36
0
17 Aug 2022
1