8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.IR2023
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…
cs.IR2023★ 8 cited
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…
cs.CL2023
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…