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Exploring Optimal Granularity for Extractive Summarization of
  Unstructured Health Records: Analysis of the Largest Multi-Institutional
  Archive of Health Records in Japan

Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan

20 September 2022
Kenichiro Ando
T. Okumura
Mamoru Komachi
Hiromasa Horiguchi
Yuji Matsumoto
ArXivPDFHTML

Papers citing "Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan"

4 / 4 papers shown
Title
Towards Clinical Encounter Summarization: Learning to Compose Discharge
  Summaries from Prior Notes
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
Han-Chin Shing
Chaitanya P. Shivade
Nima Pourdamghani
Feng Nan
Philip Resnik
Douglas W. Oard
Parminder Bhatia
41
24
0
27 Apr 2021
What's in a Summary? Laying the Groundwork for Advances in
  Hospital-Course Summarization
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization
Griffin Adams
Emily Alsentzer
Mert Ketenci
Jason Zucker
Noémie Elhadad
25
43
0
12 Apr 2021
Better Highlighting: Creating Sub-Sentence Summary Highlights
Better Highlighting: Creating Sub-Sentence Summary Highlights
Sangwoo Cho
Kaiqiang Song
Chen Li
Dong Yu
H. Foroosh
Fei Liu
24
12
0
20 Oct 2020
Factual Error Correction for Abstractive Summarization Models
Factual Error Correction for Abstractive Summarization Models
Mengyao Cao
Yue Dong
Jiapeng Wu
Jackie C.K. Cheung
HILM
KELM
167
139
0
17 Oct 2020
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