Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Bedrick, Steven"'
Autor:
Liu, Sijia, Wang, Yanshan, Wen, Andrew, Wang, Liwei, Hong, Na, Shen, Feichen, Bedrick, Steven, Hersh, William, Liu, Hongfang
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 10, p e17376 (2020)
BackgroundWidespread adoption of electronic health records has enabled the secondary use of electronic health record data for clinical research and health care delivery. Natural language processing techniques have shown promise in their capability to
Externí odkaz:
https://doaj.org/article/b27ca7a8d0f1412f8ec53bd0fb435a8a
Many NLG tasks such as summarization, dialogue response, or open domain question answering focus primarily on a source text in order to generate a target response. This standard approach falls short, however, when a user's intent or context of work i
Externí odkaz:
http://arxiv.org/abs/2109.05140
Autor:
Roberts, Kirk, Alam, Tasmeer, Bedrick, Steven, Demner-Fushman, Dina, Lo, Kyle, Soboroff, Ian, Voorhees, Ellen, Wang, Lucy Lu, Hersh, William R
We present an overview of the TREC-COVID Challenge, an information retrieval (IR) shared task to evaluate search on scientific literature related to COVID-19. The goals of TREC-COVID include the construction of a pandemic search test collection and t
Externí odkaz:
http://arxiv.org/abs/2104.09632
Autor:
Dudy, Shiran, Bedrick, Steven
Current evaluation metrics for language modeling and generation rely heavily on the accuracy of predicted (or generated) words as compared to a reference ground truth. While important, token-level accuracy only captures one aspect of a language model
Externí odkaz:
http://arxiv.org/abs/2010.06069
Autor:
Voorhees, Ellen, Alam, Tasmeer, Bedrick, Steven, Demner-Fushman, Dina, Hersh, William R, Lo, Kyle, Roberts, Kirk, Soboroff, Ian, Wang, Lucy Lu
TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pandemic. One of the key characteristics of pandemic search is the acceler
Externí odkaz:
http://arxiv.org/abs/2005.04474
Autor:
Liu, Sijia, Wang, Yanshan, Wen, Andrew, Wang, Liwei, Hong, Na, Shen, Feichen, Bedrick, Steven, Hersh, William, Liu, Hongfang
Background: Widespread adoption of electronic health records (EHRs) has enabled secondary use of EHR data for clinical research and healthcare delivery. Natural language processing (NLP) techniques have shown promise in their capability to extract th
Externí odkaz:
http://arxiv.org/abs/1901.07601
Autor:
Erdogmus, Deniz, Smith, David, Bedrick, Steven, Eddy, Brandon, Kinsella, Michelle, Lawhead, Matthew, Kocanaogullari, Aziz, Dudy, Shiran, Galvin-McLaughlin, Deirdre, Klee, Daniel, Memmott, Tab, Peters, Betts, Wiedrick, Jack, Fried-Oken, Melanie, Oken, Barry
Publikováno v:
In Contemporary Clinical Trials Communications August 2022 28
Autor:
Lawley, Grace O.1 lawley@ohsu.edu, Bedrick, Steven2, MacFarlane, Heather3, Dolata, Jill K.4, Salem, Alexandra C.3, Fombonne, Eric3,4
Publikováno v:
Journal of Autism & Developmental Disorders. Aug2023, Vol. 53 Issue 8, p2986-2997. 12p. 5 Charts.
Autor:
Zuckerman, Katharine E, Rivas Vazquez, Luis Andres, Morales Santos, Yesenia, Fuchu, Plyce, Broder-Fingert, Sarabeth, Dolata, Jill K, Bedrick, Steven, Fernandez, Jasmine, Fombonne, Eric, Sanders, Benjamin W
Publikováno v:
Autism: The International Journal of Research & Practice; Aug2024, Vol. 28 Issue 8, p1947-1958, 12p
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