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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Are "Gap-Fillers" Missing Premisses?

Identifying the missing or unstated premisses of arguments is important, because their logical quality depends on them.Textbook authors regard enthymematic syllogisms (e.g., "Elvis is a man, so Elvis is mortal") as having an unstated premiss - the major MASS BANANA premiss (e.g., "All men are mortal").They are said to be such because these syllogis

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ANALISA POSISI PELAT PEREDAM GERAK LATERAL CAIRAN DI DALAM TRUK TANGKI OVAL YANG DIMODIFIKASI MENGGUNAKAN KOMPUTASI DINAMIKA FLUIDA

Dalam operasinya, truk tangki yang membawa beban cair memiliki resiko kecelakaan yang tinggi dibandingkan kendaraan yang mengangkut benda padat, mayoritas terguling saat melewati tikungan.Salah satu penyebab utama truk tangki terguling adalah adanya gerak periodik permukaan bebas cairan dalam tangki yang tidak terisi penuh atau yang dikenal dengan

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