Attribute Mining
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Benchmarks
Most implemented
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Papers
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
While skill optimization for autonomous agents has gained traction, existing methods rely on complex pipelines. This leaves a fundamental question unaddressed: What constitutes a minimal viable pipeline for skill optimiz…
Attribute MiningAn Empirical Comparison of Generative Approaches for Product Attribute-Value Identification
Product attributes are crucial for e-commerce platforms, supporting applications like search, recommendation, and question answering. The task of Product Attribute and Value Identification (PAVI) involves identifying bot…
AttributeAttribute MiningAttribute Value ExtractionAvg+4Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach
We present a new task setting for attribute mining on e-commerce products, serving as a practical solution to extract open-world attributes without extensive human intervention. Our supervision comes from a high-quality …
AttributeAttribute MiningOA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
Automatic extraction of product attributes from their textual descriptions is essential for online shopper experience. One inherent challenge of this task is the emerging nature of e-commerce products -- we see new types…
AttributeAttribute MiningAttribute Value ExtractionLanguage Modeling+1Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Collecting fine-grained labels usually requires expert-level domain knowledge and is prohibitive to scale up. In this paper, we propose Attribute Mix, a data augmentation strategy at attribute level to expand the fine-gr…
AttributeAttribute MiningData AugmentationFine-Grained Image Classification+1