Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products (2024.findings-acl)
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| Challenge: | Existing models for attribute value extraction struggle for parameter efficiency and reliability due to data contamination and catastrophic forgetting. |
| Approach: | They propose to decouple product type and attribute to promote de-contamination and parameter efficiency while scaling up. |
| Outcome: | The proposed model achieves state-of-the-art performance with affordable parameter size, least historical knowledge forgetting, and greatest robustness against noises. |
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| Challenge: | Existing models treat each attribute as an entity type and build one set of NER tags for each of them, leading to scalability issues. |
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Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach (2023.acl-long)
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| Challenge: | Existing task setting for attribute mining on e-commerce products is closed-world, but recent work has moved towards open-world aspect. |
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| Challenge: | E-commerce websites often don’t label or mislabel attributes of products . |
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| Challenge: | Existing approaches to extract product attribute values are limited by knowledge sharing across different attributes. |
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| Challenge: | generative models are used for product attribute extraction, a new field in information extraction and e-commerce. |
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| Challenge: | Existing methods for extracting attribute value from product descriptions are limited in their accuracy. |
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Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction (2022.acl-short)
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| Challenge: | Existing approaches to extract value from product data for a large number of attributes are not effective for rare and ambiguous attributes. |
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A Unified Generative Approach to Product Attribute-Value Identification (2023.findings-acl)
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| Challenge: | Product attribute value identification (PAVI) is a core task in the e-commerce industry. |
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Yindu Su, Huike Zou, Lin Sun, Ting Zhang, Haiyang Yang, Chen Li Yu, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen
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Knowledge-Selective Pretraining for Attribute Value Extraction (2023.findings-emnlp)
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Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu
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