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Found 5 papers, 3 papers with code
OpenBrand: Open Brand Value Extraction from Product Descriptions
In this paper, we introduce OpenBrand, a novel approach for discovering brand names.
Exploring Large Language Models for Product Attribute Value Identification
Product attribute value identification (PAVI) involves automatically identifying attributes and their values from product information, enabling features like product search, recommendation, and comparison.
An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification
The task of Product Attribute and Value Identification (PAVI) involves identifying both attributes and their values from product information.
Ranked #1 on
Attribute Mining
on MAVE
CAVE: Correcting Attribute Values in E-commerce Profiles
To the best of our knowledge, CAVE is the first system that allows users to experiment with a number of powerful QA models and compare their performances on attribute values correction using real-word datasets.
Memory-Efficient Centroid Decomposition for Long Time Series
The Centroid Decomposition (CD) approximates the Singular Value Decomposition, but does not scale to long time series because of the quadratic space complexity of the sign vector computation.
