Publication | Open Access
Multi‐channel Sliced Deep RCNN with Residual Network for Text Classification
20
Citations
0
References
2020
Year
Natural Language ProcessingStructured PredictionLarge Ai ModelDeep Neural NetworksEngineeringMachine LearningData ScienceSequence ModellingConvolutional Neural NetworkSparse Neural NetworkResidual NetworkDeep LearningBigram FeaturesDeep Neural NetworkRecurrent Neural NetworkMachine TranslationSpeech Recognition
We propose a multi-channel sliced deep Recurrent convolutional neural network (RCNN) with a residual network. We expand the RCNN into a deep neural network. Our proposed model can directly learn to extract bigram features and other features from sentences where other machine learning methods cannot. The experimental results indicate that our model outperforms the traditional methods.