DicAttBiLSTM

Several existing research efforts use technical methods/models to improve the performance of their text classification (TC), but the performance is limited by the nature of the TC categories. In this paper, a dictionary-guided BiLSTM neural network (OBLNN) algorithm that incorporates both a geoscience dictionary and a document-level attention mechanism into BiLSTM for automatic TC from geoscience reports is proposed. We hope that our approach will serve as an alternative method that deserves further study.