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The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria


Jul 27, 2022
Nicholas J Dobbins, Tony Mullen, Ozlem Uzuner, Meliha Yetisgen


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Event-based clinical findings extraction from radiology reports with pre-trained language model


Dec 27, 2021
Wilson Lau, Kevin Lybarger, Martin L. Gunn, Meliha Yetisgen


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Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model


Aug 20, 2021
Kevin Lybarger, Aashka Damani, Martin Gunn, Ozlem Uzuner, Meliha Yetisgen


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Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework


Mar 10, 2021
Kevin Lybarger, Linzee Mabrey, Matthew Thau, Pavan K. Bhatraju, Mark Wurfel, Meliha Yetisgen


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Performance of Automatic De-identification Across Different Note Types


Feb 17, 2021
Nicholas Dobbins, David Wayne, Kahyun Lee, Özlem Uzuner, Meliha Yetisgen

* AMIA Virtual Summits 2021 

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Transferability of Neural Network-based De-identification Systems


Feb 17, 2021
Kahyun Lee, Nicholas J. Dobbins, Bridget McInnes, Meliha Yetisgen, Özlem Uzuner


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Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context


Feb 17, 2021
Paul Barry, Sam Henry, Meliha Yetisgen, Bridget McInnes, Ozlem Uzuner


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Extracting COVID-19 Diagnoses and Symptoms From Clinical Text: A New Annotated Corpus and Neural Event Extraction Framework


Dec 02, 2020
Kevin Lybarger, Mari Ostendorf, Matthew Thompson, Meliha Yetisgen


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Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation


Sep 01, 2020
Wilson Lau, Laura Aaltonen, Martin Gunn, Meliha Yetisgen

* Under Review at American Medical Informatics Association Summit 2021 

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Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction


Apr 11, 2020
Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen

* 29 pages, 14 figures, 4 tables 

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