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Drug Named Entity Recognition (DNER) becomes indispensable for various medical relation extraction systems. Existing deep learning systems rely on the benchmark data for training as well as testing the model. However, it is very important to test on the real time data. In this research, we propose a hybrid DNER framework where we incorporate text summarization on real time data to create the test...
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