cnn-bilstm

The paper introduces a hybrid hierarchical 1D-CNN-BiLSTM framework for extractive summarization of biomedical and clinical text, designed to preserve factuality by selecting sentences directly from source documents rather than generating new text.

A research paper evaluating CHAP, a CNN-BiLSTM model, for classifying sedentary behavior from wearable accelerometer data, focusing on transfer from hip to wrist placement and the benefits of finetuning.