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Found 8 papers, 0 papers with code
Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction
A major problem in solving AVE as XMC is that the distribution between positive and negative labels for products is heavily imbalanced.
RakutenAI-7B: Extending Large Language Models for Japanese
We introduce RakutenAI-7B, a suite of Japanese-oriented large language models that achieve the best performance on the Japanese LM Harness benchmarks among the open 7B models.
A Unified Generative Approach to Product Attribute-Value Identification
We finetune a pre-trained generative model, T5, to decode a set of attribute-value pairs as a target sequence from the given product text.
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction
A key challenge in attribute value extraction (AVE) from e-commerce sites is how to handle a large number of attributes for diverse products.
Large-Scale Categorization of Japanese Product Titles Using Neural Attention Models
We propose a variant of Convolutional Neural Network (CNN) models, the Attention CNN (ACNN); for large-scale categorization of millions of Japanese items into thirty-five product categories.
