Zobrazeno 1 - 10
of 152
pro vyhledávání: '"entity normalization"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1339-1347 (2024)
Over the past decade, information for precision disease medicine has accumulated in the form of textual data. To effectively utilize this expanding medical text, we proposed a multi-task learning-based framework based on hard parameter sharing for kn
Externí odkaz:
https://doaj.org/article/1fbd23c2d12c46669713ae3b19ed3b8e
Autor:
Sarah Mullin, Robert McDougal, Kei-Hoi Cheung, Halil Kilicoglu, Amanda Beck, Caroline J. Zeiss
Publikováno v:
Journal of Biomedical Semantics, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Background Identifying chemical mentions within the Alzheimer’s and dementia literature can provide a powerful tool to further therapeutic research. Leveraging the Chemical Entities of Biological Interest (ChEBI) ontology, which is rich in
Externí odkaz:
https://doaj.org/article/4d5adcffd66645abadab243267fd3734
Autor:
Lulu Wang, Kai Yu, Aishan Wumaier, Peng Zhang, Tuergen Yibulayin, Xi Wu, Jibing Gong, Maihemuti Maimaiti
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3429-3443 (2024)
Abstract Extractive approaches have been the mainstream paradigm for identifying overlapping entity–relation extraction. However, limited by their inherently methodological flaws, which hardly deal with three issues: hierarchical dependent entity
Externí odkaz:
https://doaj.org/article/b61badbf9eb7426da717aa4d370d7b9a
Autor:
Arnaud Ferré, Philippe Langlais
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-29 (2023)
Abstract Background Entity normalization is an important information extraction task which has recently gained attention, particularly in the clinical/biomedical and life science domains. On several datasets, state-of-the-art methods perform rather w
Externí odkaz:
https://doaj.org/article/ea738e3048574b77863ec901a933ab6d
Autor:
Ngoc D. Le, Nhung T. H. Nguyen
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 8 (2023)
Biomedical entity linking task is the task of mapping mention(s) that occur in a particular textual context to a unique concept or entity in a knowledge base, e.g., the Unified Medical Language System (UMLS). One of the most challenging aspects of th
Externí odkaz:
https://doaj.org/article/8da68e425f8c4a08b6da763e94145065
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 1, Pp 1018-1036 (2023)
Medical procedure entity normalization is an important task to realize medical information sharing at the semantic level; it faces main challenges such as variety and similarity in real-world practice. Although deep learning-based methods have been s
Externí odkaz:
https://doaj.org/article/9c86aa039ce84e8490d56e074d67639f
Akademický článek
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Publikováno v:
BMC Bioinformatics, Vol 22, Iss S1, Pp 1-38 (2021)
Abstract Background Automated assignment of specific ontology concepts to mentions in text is a critical task in biomedical natural language processing, and the subject of many open shared tasks. Although the current state of the art involves the use
Externí odkaz:
https://doaj.org/article/6f47dcbd9ac54cd0a5847baa56b2267a
Akademický článek
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Autor:
Kwangmin Kim, Doheon Lee
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S11, Pp 1-10 (2021)
Abstract Background Concept recognition is a term that corresponds to the two sequential steps of named entity recognition and named entity normalization, and plays an essential role in the field of bioinformatics. However, the conventional dictionar
Externí odkaz:
https://doaj.org/article/7b33a036a67d40ceb0fe6f680bcc8a5c