AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Ronghui You
Ronghui You
Zihan Zhang
Zihan Zhang
Ziye Wang
Ziye Wang
Suyang Dai
Suyang Dai

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), pp. 5812-5822, 2019.

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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

Extreme multi-label text classification (XMTC) is an important problem in the era of big data, for tagging a given text with the most relevant multiple labels from an extremely large-scale label set. XMTC can be found in many applications, such as item categorization, web page tagging, and news annotation. Traditionally most methods used ...More

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