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Leveraging Distributional Semantics for Multi-Label Learning
Our approach is novel in that it highlights interesting connections between label embedding methods used for multi-label learning and paragraph/document embedding methods commonly used for learning representations of text data.
User Bias Removal in Review Score Prediction
Review score prediction of text reviews has recently gained a lot of attention in recommendation systems.
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