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LabelCoRank for Long Tail Multi-Label Classification by Anurag Parmar is a document available to read on EtoBox.

What is LabelCoRank for Long Tail Multi-Label Classification about?

The document introduces LabelCoRank, a novel approach to long tail multi-label classification that utilizes label co-occurrence relationships to enhance classification accuracy through a dual-stage reranking process. By integrating label representations as additional text features, LabelCoRank effectively addresses the challenges posed by infrequent labels in multi-label text classification. Experimental results on various datasets demonstrate the model

Author

Anurag Parmar

Language

EN