ParaBTM: A Parallel Processing Framework for Biomedical Text Mining on Supercomputers [PDF]
Molecules, 2018 A prevailing way of extracting valuable information from biomedical literature is to apply text mining methods on unstructured texts. However, the massive amount of literature that needs to be analyzed poses a big data challenge to the processing ...
Yuting Xing +5 more
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SparkText: Biomedical Text Mining on Big Data Framework. [PDF]
PLoS ONE, 2016 BACKGROUND:Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments.
Zhan Ye +4 more
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Accelerated variant curation from scientific literature using biomedical text mining [PDF]
microPublication Biology, 2022 Biological databases collect and standardize data through biocuration. Even though major model organism databases have adopted some automation of curation methods, a large portion of biocuration is still performed manually.
Rishab Mallick +5 more
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A pretrained biomedical large language model for Persian biomedical text mining [PDF]
Scientific ReportsLarge language models (LLMs) have recently gained attention in the life sciences due to their capacity to model, extract, and apply complex biological information.
Baqer M. Merzah +6 more
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A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining
IEEE Access, 2019 The amount of biomedical literature is vast and growing quickly, and accurate text mining techniques could help researchers to efficiently extract useful information from the literature.
Donghyeon Kim +8 more
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The BioLexicon: a large-scale terminological resource for biomedical text mining [PDF]
BMC Bioinformatics, 2011 Background Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems to help them to search for relevant information. Such systems should account for the multiple written variants used
Thompson Paul +14 more
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Biomedical text mining and its applications. [PDF]
PLoS Computational Biology, 2009 Raul Rodriguez-Esteban
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining. [PDF]
Bioinformatics, 2020 Lee J +6 more
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Introduction to BLAH5 special issue: recent progress on interoperability of biomedical text mining [PDF]
Genomics & Informatics, 2019 Jin-Dong Kim +4 more
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Biomedical text mining for research rigor and integrity: tasks, challenges, directions. [PDF]
Brief Bioinform, 2018 Kilicoglu H.
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