Summarizing Patients Problems from Hospital Progress Notes Using
Pre-trained Sequence-to-Sequence Models

v1v2 (latest)

Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models

17 August 2022

Dmitriy Dligach

ArXiv (abs)PDF HTML

Papers citing "Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models"

17 / 17 papers shown

Title
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations Longxiang Zhang Renato M. P. Negrinho Arindam Ghosh V. Jagannathan H. Hassanzadeh Thomas Schaaf Matthew R. Gormley LM&MA AI4MH 132 68 0 24 Sep 2021
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization Griffin Adams Emily Alsentzer Mert Ketenci Jason Zucker Noémie Elhadad 73 48 0 12 Apr 2021
Towards objectively evaluating the quality of generated medical summaries Francesco Moramarco Damir Juric Aleksandar Savkov Ehud Reiter 30 9 0 09 Apr 2021
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies Gabriele Pergola E. Kochkina Lin Gui Maria Liakata Yulan He 123 32 0 16 Feb 2021
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques Kundan Krishna Sopan Khosla Jeffrey P. Bigham Zachary Chase Lipton 62 117 0 04 May 2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? Yada Pruksachatkun Jason Phang Haokun Liu Phu Mon Htut Xiaoyi Zhang Richard Yuanzhe Pang Clara Vania Katharina Kann Samuel R. Bowman CLL LRM 62 197 0 01 May 2020
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization Sajad Sotudeh Nazli Goharian Ross W. Filice 60 56 0 01 May 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks Suchin Gururangan Ana Marasović Swabha Swayamdipta Kyle Lo Iz Beltagy Doug Downey Noah A. Smith VLM AI4CE CLL 164 2,435 0 23 Apr 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 264 10,851 0 29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 485 20,317 0 23 Oct 2019
Ontology-Aware Clinical Abstractive Summarization Sean MacAvaney Sajad Sotudeh Arman Cohan Nazli Goharian Ish A. Talati Ross W. Filice 38 82 0 14 May 2019
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 352 5,868 0 21 Apr 2019
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 112 327 0 14 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Learning to Summarize Radiology Findings Yuhao Zhang D. Ding Tianpei Qian Christopher D. Manning C. Langlotz MedIm 59 128 0 12 Sep 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 787 132,454 0 12 Jun 2017
Get To The Point: Summarization with Pointer-Generator Networks A. See Peter J. Liu Christopher D. Manning 3DPC 311 4,026 0 14 Apr 2017

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.