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pro vyhledávání: '"HERSH, William"'
With the advancement of large language models (LLMs), the biomedical domain has seen significant progress and improvement in multiple tasks such as biomedical question answering, lay language summarization of the biomedical literature, clinical note
Externí odkaz:
http://arxiv.org/abs/2411.18069
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
Autor:
Hersh, William R.
Objective: Information retrieval (IR, also known as search) systems are ubiquitous in modern times. How does the emergence of generative artificial intelligence (AI), based on large language models (LLMs), fit into the IR process? Process: This persp
Externí odkaz:
http://arxiv.org/abs/2311.18550
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:
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:
Tarpanova, Antoaneta, Malik, Sarwar, Lichtman, Devora, Wallach, Yisrael, Mukhlall, Joshua A., Hersh, William H.
Publikováno v:
In Tetrahedron 21 March 2023 134