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AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
NeurIPS 2019
• yourh/AttentionXML
• 
We propose a new label tree-based deep learning model for XMTC, called AttentionXML, with two unique features: 1) a multi-label attention mechanism with raw text as input, which allows to capture the most relevant part of text to each label; and 2) a shallow and wide probabilistic label tree (PLT), which allows to handle millions of labels, especially for "tail labels".
MULTI-LABEL TEXT CLASSIFICATION NEWS ANNOTATION TEXT CLASSIFICATION WEB PAGE TAGGING
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
NeurIPS 2019
• yourh/AttentionXML
•
We propose a new label tree-based deep learning model for XMTC, called AttentionXML, with two unique features: 1) a multi-label attention mechanism with raw text as input, which allows to capture the most relevant part of text to each label; and 2) a shallow and wide probabilistic label tree (PLT), which allows to handle millions of labels, especially for "tail labels".
MULTI-LABEL TEXT CLASSIFICATION NEWS ANNOTATION PRODUCT CATEGORIZATION TEXT CLASSIFICATION WEB PAGE TAGGING