MULTIPLE SAMPLING SCHEMES AND DEEP LEARNING IMPROVE ACTIVE LEARNING PERFORMANCE IN DRUG-DRUG INTERACTION INFORMATION RETRIEVAL ANALYSIS FROM THE LITERATURE

Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature

Abstract Background Drug-drug interaction (DDI) information retrieval (IR) is an important natural language process (NLP) task from the PubMed literature.For the first time, active learning (AL) is studied in DDI IR analysis.DDI IR analysis from PubMed abstracts faces the challenges of relatively small positive DDI samples among overwhelmingly larg

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