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cs.CL2019
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
Qingyu Chen, Jingcheng Du, Sun Kim +2
Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general…
cs.CL2019★ 1 cited
Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning
Jingcheng Du, Chongliang Luo, Qiang Wei +2
In this study, we proposed a convolutional neural network model for gender prediction using English Twitter text as input. Ensemble of proposed model achieved an accuracy at 0.8237…