AttriSage: Product Attribute Value Extraction Using Graph Neural Networks (2024.eacl-srw)
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| Challenge: | Existing methods for extracting attribute value from product descriptions are limited in their accuracy. |
| Approach: | They propose a method for extracting product attribute value from product description using graphs and neural networks. |
| Outcome: | The proposed method improves product description attribute value extraction accuracy compared to baseline methods. |
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Pollawat Hongwimol, Haoning Shang, Chutong Wang, Zhichao Wan, Yi Gao, Yuanming Li, Lin Gui, Wenhao Sun, Cheng Yu
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