Multi-Label Text Classification
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Investigating Capsule Networks with Dynamic Routing for Text Classification
EMNLP 2018
• andyweizhao/capsule_text_classification
• 
In this study, we explore capsule networks with dynamic routing for text classification. We propose three strategies to stabilize the dynamic routing process to alleviate the disturbance of some noise capsules which may contain "background" information or have not been successfully trained.
SOTA for Sentiment Analysis on MR
MULTI-LABEL TEXT CLASSIFICATION SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS TEXT CLASSIFICATION
ML-Net: multi-label classification of biomedical texts with deep neural networks
Due to this nature, the multi-label text classification task is often considered to be more challenging compared to the binary or multi-class text classification problems. As an end-to-end system, ML-Net combines a label prediction network with an automated label count prediction mechanism to output an optimal set of labels by leveraging both predicted confidence score of each label and the contextual information in the target document.
MULTI-LABEL CLASSIFICATION MULTI-LABEL CLASSIFICATION OF BIOMEDICAL TEXTS MULTI-LABEL TEXT CLASSIFICATION TEXT CLASSIFICATION