The task of product attribute value extraction is to identify values of an attribute from product
information. Product attributes are important features, which help improve online shop** …

Product attribute value identification (PAVI) involves automatically identifying attributes and
their values from product information, enabling features like product search …

We propose attribute-aware multimodal entity linking, where the input is a mention
described with a text and image, and the goal is to predict the corresponding target entity …

E-commerce platforms rely heavily on the attribute values of their products as they play a
crucial role in various retail functions such as product search, recommendations, and …

In e-commerce, accurately extracting product attribute values from multimodal data is crucial
for improving user experience and operational efficiency of retailers. However, previous …

E-commerce platforms require structured product data in the form of attribute-value pairs to
offer features such as faceted product search or attribute-based product comparison …

Accurate attribute extraction is critical for beauty product recommendations and building trust
with customers. This remains an open problem, as existing solutions are often unreliable …

E-commerce platforms should provide detailed product descriptions (attribute values) for
effective product search and recommendation. However, attribute value information is …

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 day in …

Product Attribute Value Identification (PAVI) involves identifying attribute values from product
profiles, a key task for improving product search, recommendations, and business analytics …