Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label
Text Classification
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label
Text Classification
Extreme multi-label text classification (XMC) seeks to find relevant labels from an extreme large label collection for a given text input. Many real-world applications can be formulated as XMC problems, such as recommendation systems, document tagging and semantic search. Recently, transformer based XMC methods, such as X-Transformer and LightXML, have …