Data-centric graph learning: A survey
The history of artificial intelligence (AI) has witnessed the significant impact of high-quality
data on various deep learning models, such as ImageNet for AlexNet and ResNet. Recently …
data on various deep learning models, such as ImageNet for AlexNet and ResNet. Recently …
Multi-Label Zero-Shot Product Attribute-Value Extraction
J Gong, H Eldardiry - Proceedings of the ACM on Web Conference 2024, 2024 - dl.acm.org
E-commerce platforms should provide detailed product descriptions (attribute values) for
effective product search and recommendation. However, attribute value information is …
effective product search and recommendation. However, attribute value information is …
GenToC: Leveraging Partially-Labeled Data for Product Attribute-Value Identification
D Subhalingam, K Kolluru, S Singal - arXiv preprint arXiv:2405.10918, 2024 - arxiv.org
In the e-commerce domain, the accurate extraction of attribute-value pairs from product
listings (eg, Brand: Apple) is crucial for enhancing search and recommendation systems …
listings (eg, Brand: Apple) is crucial for enhancing search and recommendation systems …
Few-Shot and Zero-Shot Learning for Information Extraction
J Gong - 2024 - vtechworks.lib.vt.edu
Abstract Information extraction aims to automatically extract structured information from
unstructured texts. Supervised information extraction requires large quantities of labeled …
unstructured texts. Supervised information extraction requires large quantities of labeled …