Results 41 to 50 of about 90,813 (262)
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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PLoS Biology, 2020 Data-driven research in biomedical science requires structured, computable data. Increasingly, these data are created with support from automated text mining.
Robert Leaman +3 more
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A Novel Text-Mining Approach for Retrieving Pharmacogenomics Associations From the Literature
Frontiers in Pharmacology, 2020 Text mining in biomedical literature is an emerging field which has already been shown to have a variety of implementations in many research areas, including genetics, personalized medicine, and pharmacogenomics.
Maria-Theodora Pandi +7 more
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Cell line name recognition in support of the identification of synthetic lethality in cancer from text [PDF]
, 2015 Motivation: The recognition and normalization of cell line names in text is an important task in biomedical text mining research, facilitating for instance the identification of synthetically lethal genes from the literature.
Ginter, Filip +5 more
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Selecting an ontology for biomedical text mining [PDF]
Proceedings of the Workshop on BioNLP - BioNLP '09, 2009 Text mining for biomedicine requires a significant amount of domain knowledge. Much of this information is contained in biomedical ontologies. Developers of text mining applications often look for appropriate ontologies that can be integrated into their systems, rather than develop new ontologies from scratch.
He Tan, Patrick Lambrix
openaire +1 more source
Text Detective: a rule-based system for gene annotation in biomedical texts [PDF]
, 2005 Background The identification of mentions of gene or gene products in biomedical texts is a critical step in the development of text mining applications in biosciences.
Javier Tamames
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Biomedical event extraction based on GRU integrating attention mechanism
BMC Bioinformatics, 2018 Background Biomedical event extraction is a crucial task in biomedical text mining. As the primary forum for international evaluation of different biomedical event extraction technologies, BioNLP Shared Task represents a trend in biomedical text mining ...
Lishuang Li +3 more
doaj +1 more source
Do peers see more in a paper than its authors? [PDF]
, 2012 Recent years have shown a gradual shift in the content of biomedical publications that is freely accessible, from titles and abstracts to full text. This has enabled new forms of automatic text analysis and has given rise to some interesting questions ...
Divoli, Anna +2 more
core +3 more sources
Using Neural Networks for Relation Extraction from Biomedical Literature
, 2020 Using different sources of information to support automated extracting of relations between biomedical concepts contributes to the development of our understanding of biological systems.
A Koike +34 more
core +1 more source
A comparison study on algorithms of detecting long forms for short forms in biomedical text [PDF]
, 2007 Motivation With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building literature mining applications.
Manabu Torii +4 more
core +2 more sources