Funder
National Basic Research Program of China
Subject
Health Informatics,Computer Science Applications
Reference31 articles.
1. M. Krallinger, O. Rabal, S.A. Akhondi, et al., Overview of the BioCreative VI chemical-protein interaction Track, in: Proceedings of the sixth BioCreative challenge evaluation workshop, vol. 1, 2017, pp. 141–146.
2. N. Warikoo, Y.-C. Chang, W.-L. Hsu, LPTK: a linguistic pattern-aware dependency tree kernel approach for the BioCreative VI CHEMPROT task, Database, 2018.
3. Extracting chemical–protein interactions from literature using sentence structure analysis and feature engineering;Lung;Database,2019
4. Extracting chemical–protein relations with ensembles of SVM and deep learning models;Peng;Database,2018
5. An overview of statistical learning theory;Vapnik;IEEE Trans. Neural Networks,1999
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