Product Categorization
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
Atlas
Greatest papers with code
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
yourh/AttentionXML
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NeurIPS 2019
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".
Taming Pretrained Transformers for Extreme Multi-label Text Classification
OctoberChang/X-Transformer
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However, naively applying deep transformer models to the XMC problem leads to sub-optimal performance due to the large output space and the label sparsity issue.
Extreme Multi-Label Classification
General Classification
+4
Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization
In E-commerce, it is a common practice to organize the product catalog using product taxonomy.
