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Health literacy has emerged as a crucial factor in making appropriate health decisions and ensuring treatment outcomes.
Text Summarization in the Biomedical Domain
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Technique of clear writing
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Gaps in doctor-patient communication: I. Doctor-patient interaction and patient satisfaction
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Estimates of the regression coefficient based on Kendall’s tau
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A computer readability formula designed for machine scoring
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Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel
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The automatic generation of literature abstracts: an approach based on the identification of self-indicating phrases
Paice, C. 1980 · 1980
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WordNet: a lexical database for English
Miller, G. A. 1995 · 1995
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Health literacy-report of the council on scientific affairs
Parker, R. M.; Williams, M. V.; Weiss, B. D.; Baker, D. W.; Davis, T. C.; Doak, C. C.; Doak, L. G.; Hein, K.; Meade, C. D.; Nurss, J.; et al. 1999 · 1999
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Two biomedical sublanguages: a description based on the theories of Zellig Harris
Friedman, C.; Kra, P.; and Rzhetsky, A. 2002 · 2002
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Luu, K.; Koncel-Kedziorski, R.; Lo, K.; Cachola, I.; and Smith, N. A. 2020 · 2002
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Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status
Teufel, S.; and Moens, M. 2002 · 2002
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The unified medical language system (UMLS): integrating biomedical terminology
Bodenreider, O. 2004 · 2004
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TLDR: Extreme Summarization of Scientific Documents
Cachola, I.; Lo, K.; Cohan, A.; and Weld, D. S. 2020 · 2004
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LexRank: Graph-based Centrality as Salience in Text Summarization
Erkan, G.; and Radev, D. R. 2004 · 2004
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Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Gururangan, S.; Marasović, A.; Swayamdipta, S.; Lo, K.; Beltagy, I.; Downey, D.; and Smith, N. A. 2020 · 2004
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Evidence-based public health: the importance of finding ‘difficult to locate’public health and health promotion intervention studies for systematic reviews
Howes, F.; Doyle, J.; Jackson, N.; and Waters, E. 2004 · 2004
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Rouge: A package for automatic evaluation of summaries
Lin, C.-Y. 2004 · 2004
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Language models are few-shot learners
Brown, T. B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al. 2020 · 2005
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Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
Cao, Y.; Shui, R.; Pan, L.; Kan, M.-Y.; Liu, Z.; and Chua, T.-S. 2020 · 2005
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Pruksachatkun, Y.; Phang, J.; Liu, H.; Htut, P. M.; Zhang, X.; Pang, R. Y.; Vania, C.; Kann, K.; and Bowman, S. R. 2020 · 2005
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A Survey on Automatic Text Summarization
Das, D.; and Martins, A. 2007 · 2007
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Concept recognition for extracting protein interaction relations from biomedical text
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Nallapati, R.; Zhou, B.; Santos, C. D.; Çaglar Gülçehre; and Xiang, B. 2016 · 2016
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Endovenous ablation therapy (laser or radiofrequency) or foam sclerotherapy versus conventional surgical repair for short saphenous varicose veins
Paravastu, S. C. V.; Horne, M.; and Dodd, P. D. F. 2016 · 2016
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Fetal and umbilical Doppler ultrasound in high-risk pregnancies
Alfirevic, Z.; Stampalija, T.; and Dowswell, T. 2017 · 2017
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Text summarization techniques: a brief survey
Allahyari, M.; Pouriyeh, S.; Assefi, M.; Safaei, S.; Trippe, E. D.; Gutierrez, J. B.; and Kochut, K. 2017 · 2017
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Probiotics for the prevention of Clostridium difficile-associated diarrhea in adults and children
Goldenberg, J. Z.; Yap, C.; Lytvyn, L.; Lo, C. K.-F.; Beardsley, J.; Mertz, D.; and Johnston, B. C. 2017 · 2017
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Baumgartner, W. A.; Lu, Z.; Johnson, H. L.; Caporaso, J. G.; Paquette, J.; Lindemann, A.; White, E. K.; Medvedeva, O.; Cohen, K. B.; and Hunter, L. 2008 · 2008
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Ribavirin plus interferon versus interferon for chronic hepatitis C
Brok, J.; Gluud, L. L.; and Gluud, C. 2010 · 2010
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Towards effective sentence simplification for automatic processing of biomedical text
Jonnalagadda, S.; Tari, L.; Hakenberg, J.; Baral, C.; and Gonzalez, G. 2010 · 2010
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Summarization of clinical information: a conceptual model
Feblowitz, J. C.; Wright, A.; Singh, H.; Samal, L.; and Sittig, D. F. 2011 · 2011
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Development of a corpus for evidence based medicine summarisation
Mollá, D.; Santiago-Martinez, M. E.; et al. 2011 · 2011
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Using Machine Learning for Medical Document Summarization
Sarkar, K.; Nasipuri, M.; and Ghose, S. 2011 · 2011
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Systematic reviews and meta-analyses
Uman, L. S. 2011 · 2011
Cited alongside, same era.
Non-resection versus resection for an asymptomatic primary tumour in patients with unresectable stage IV colorectal cancer
Cirocchi, R.; Trastulli, S.; Abraha, I.; Vettoretto, N.; Boselli, C.; Montedori, A.; Parisi, A.; Noya, G.; and Platell, C. 2012 · 2012
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Deep learning with word embeddings improves biomedical named entity recognition
Habibi, M.; Weber, L.; Neves, M.; Wiegandt, D. L.; and Leser, U. 2017 · 2017
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Text simplification using consumer health vocabulary to generate patient-centered radiology reporting: translation and evaluation
Qenam, B.; Kim, T. Y.; Carroll, M. J.; and Hogarth, M. 2017 · 2017
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Get To The Point: Summarization with Pointer-Generator Networks
See, A.; Liu, P. J.; and Manning, C. D. 2017 · 2017
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A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Cohan, A.; Dernoncourt, F.; Kim, D. S.; Bui, T.; Kim, S.; Chang, W.; and Goharian, N. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
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Deep Contextualized Word Representations
Peters, M. E.; Neumann, M.; Iyyer, M.; Gardner, M.; Clark, C.; Lee, K.; and Zettlemoyer, L. 2018 · 2018
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Improving Language Understanding by Generative Pre-Training
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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Text Summarization with Pretrained Encoders
Liu, Y.; and Lapata, M. 2019 · 2019
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Standards for the reporting of Plain Language Summaries in new Cochrane Intervention Reviews (PLEACS)
McIlwain, C.; Santesso, N.; Simi, S.; Napoli, M.; Lasserson, T.; Welsh, E.; Churchill, R.; Rader, T.; Chandler, J.; Tovey, D.; et al. 2014 · 2019
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Automatic summarization of scientific articles: A survey
Altmami, N. I.; and Menai, M. E. B. 2020 · 2020
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Overview of the CLEF eHealth evaluation lab 2020
Goeuriot, L.; Suominen, H.; Kelly, L.; Miranda-Escalada, A.; Krallinger, M.; Liu, Z.; Pasi, G.; Saez, G. G.; Viviani, M.; and Xu, C. 2020 · 2020
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Pretrained Transformers Improve Out-of-Distribution Robustness
Hendrycks, D.; Liu, X.; Wallace, E.; Dziedzic, A.; Krishnan, R.; and Song, D. 2020 · 2020
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