Extracting drugdrug interactions from literature using a rich feature-based linear kernel approach
An urgent need for developing text mining techniques in DDI extraction. Linear kernel approaches have not achieved the state-of-the-art performance. We propose an efficient and scalable system using a linear kernel for DDI extraction. Linear SVMs are competitive when equipped with rich lexical and syntactic features. One-against-one approach addresses an imbalance issue in multi-class classification.
drugdrug interaction linear kernel approach biomedical literature