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Found 3 papers, 1 papers with code
Deep Recurrent Neural Networks for Product Attribute Extraction in eCommerce
Extracting accurate attribute qualities from product titles is a vital component in delivering eCommerce customers with a rewarding online shopping experience via an enriched faceted search.
Survey of resampling techniques for improving classification performance in unbalanced datasets
A number of classification problems need to deal with data imbalance between classes.
Attribute Extraction from Product Titles in eCommerce
This paper presents a named entity extraction system for detecting attributes in product titles of eCommerce retailers like Walmart.
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