Attribute Value Extraction

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (35 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
  15 Sep 2020 2 repositories listed
  We annotate a multimodal product attribute value dataset that contains 87, 194 instances, and the experimental results on this dataset demonstrate that explicitly modeling the relationship between attributes and values…
• Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title
  1 Jul 2019 2 repositories listed
  Supplementing product information by extracting attribute values from title is a crucial task in e-Commerce domain.
• OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]
  1 Jun 2018 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  We study this problem in the context of product catalogs that often have missing values for many attributes of interest.
• Automated Self-Refinement and Self-Correction for LLM-based Product Attribute Value Extraction
  2 Jan 2025 1 repository listed
  This paper investigates applying two self-refinement techniques, error-based prompt rewriting and self-correction, to the product attribute value extraction task.
• ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
  24 Apr 2024 1 repository listed
  To address these limitations, we present ImplicitAVE, the first, publicly available multimodal dataset for implicit attribute value extraction.
• Using LLMs for the Extraction and Normalization of Product Attribute Values
  4 Mar 2024 1 repository listed
  In order to enable features such as faceted product search or to generate product comparison tables, it is necessary to extract structured attribute-value pairs from the unstructured product titles and descriptions and…
• Multi-Label Zero-Shot Product Attribute-Value Extraction
  13 Feb 2024 1 repository listed
  We propose HyperPAVE, a multi-label zero-shot attribute value extraction model that leverages inductive inference in heterogeneous hypergraphs.
• JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction
  7 Nov 2023 1 repository listed
  Furthermore, the copy mechanism in value generator and the value attention module in value classifier help our model address the data discrepancy issue by only focusing on the relevant part of input text and ignoring…
• ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction
  19 Oct 2023 1 repository listed
  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.
• AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction
  11 Oct 2023 1 repository listed
  In this paper, we reformulate this task as a multi-label classification task that can be applied for real-world scenario in which only annotation of attribute values is available to train models (i.
• Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction
  16 Aug 2023 1 repository listed
  Existing attribute-value extraction (AVE) models require large quantities of labeled data for training.
• CAVE: Correcting Attribute Values in E-commerce Profiles
  17 Oct 2022 1 repository listed
  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.
• OpenBrand: Open Brand Value Extraction from Product Descriptions
  1 May 2022 1 repository listed
  In this paper, we introduce OpenBrand, a novel approach for discovering brand names.
• OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
  29 Apr 2022 1 repository listed
  Most prior works on this matter mine new values for a set of known attributes but cannot handle new attributes that arose from constantly changing data.
• MAVE: A Product Dataset for Multi-source Attribute Value Extraction
  16 Dec 2021 1 repository listed
  Attribute value extraction refers to the task of identifying values of an attribute of interest from product information.
• Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
  19 Oct 2020 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  Effectively filtering out noisy articles as well as bad answers is the key to improving extraction accuracy.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.