Abstract
Gene normalization is a process of automatically detecting gene names in the literature and linking them to database records. It is critical for improving the coverage of annotation in gene databases. Automatic association of a gene with a species, also known as species assignment, is an essential step of gene normalization. In this article, we propose a new species assignment method which explores the structure of full length article. Experimental results show our method outperforms state-of-art systems on full length article level species assignment. Thus, we believe our work can be used in the process of full length article gene normalization.
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Acknowledgements
The work was supported by Guangdong University of Foreign Studies (299-X5219112, 299-X5218168).
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Ding, R., Chen, H., Liu, J., Kuang, J. (2020). Species Assignment for Gene Normalization Through Exploring the Structure of Full Length Article. In: Popescu, E., Hao, T., Hsu, TC., Xie, H., Temperini, M., Chen, W. (eds) Emerging Technologies for Education. SETE 2019. Lecture Notes in Computer Science(), vol 11984. Springer, Cham. https://doi.org/10.1007/978-3-030-38778-5_31
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DOI: https://doi.org/10.1007/978-3-030-38778-5_31
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