[ACL 2024] Dataset and Code of "ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction"
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Updated
Jun 10, 2024 - Jupyter Notebook
[ACL 2024] Dataset and Code of "ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction"
CAVE is a tool for attribute value correction, enrichment, and normalisation in E-commerce.
This repository contains the code to reproduce the results in the paper GAVI: A Category-Aware Generative Approach for Brand Value Identification.
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