Attribute Value Extraction

6 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]

hackerxiaobai/OpenTag_2019 1 Jun 2018

We study this problem in the context of product catalogs that often have missing values for many attributes of interest.

Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title

hackerxiaobai/OpenTag_2019 ACL 2019

Supplementing product information by extracting attribute values from title is a crucial task in e-Commerce domain.

Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product

jd-aig/JAVE EMNLP 2020

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 facilitates our method to establish the correspondence between them, and selectively utilizing visual product information is necessary for the task.

MAVE: A Product Dataset for Multi-source Attribute Value Extraction

google-research-datasets/mave 16 Dec 2021

Attribute value extraction refers to the task of identifying values of an attribute of interest from product information.