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NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
In this paper, we introduce NeuralClassifier, a toolkit for neural hierarchical multi-label text classification. NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature is that NeuralClassifier currently provides a variety of text encoders, such as FastText, TextCNN, TextRNN, RCNN, VDCNN, DPCNN, DRNN, AttentiveConvNet and Transformer encoder, etc. It
doi:10.18653/v1/p19-3015
dblp:conf/acl/LiuMLMTAFWZ19
fatcat:7vcqanwnovcupni7ii25rayov4