19 citations · 27 across the 4 of their papers we have counts for
4 papers
AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction
Zhongfen Deng, Wei-Te Chen, Lei Chen +1
Product attribute value extraction plays an important role for many real-world applications in e-Commerce such as product search and recommendation. Previous methods treat it as a…
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction
Jiaying Gong, Wei-Te Chen, Hoda Eldardiry
Existing attribute-value extraction (AVE) models require large quantities of labeled data for training. However, new products with new attribute-value pairs enter the market every…
A Unified Generative Approach to Product Attribute-Value Identification
Keiji Shinzato, Naoki Yoshinaga, Yandi Xia +1
Product attribute-value identification (PAVI) has been studied to link products on e-commerce sites with their attribute values (e.g., <Material, Cotton>) using product text as clu…
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction
Keiji Shinzato, Naoki Yoshinaga, Yandi Xia +1
A key challenge in attribute value extraction (AVE) from e-commerce sites is how to handle a large number of attributes for diverse products. Although this challenge is partially a…