AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction

Author:

Deng Zhongfen1,Chen Wei-Te2,Chen Lei2,Yu Philip S.1

Affiliation:

1. University of Illinois at Chicago,Department of Computer Science,Chicago,Illinois,60607

2. Rakuten Group Inc,Rakuten Institute of Technology

Publisher

IEEE

Reference23 articles.

1. Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

2. Attribute extraction from product titles in ecommerce;more,2016

3. Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction

4. Faceted product search powered by the Semantic Web

5. Hierarchical taxonomy-aware and attentional graph capsule rcnns for large-scale multi-label text classification;peng;IEEE TKDE,2019

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1. Deep Learning-based Semantic Search Techniques for Enhancing Product Matching in E-commerce;2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI);2024-04-13

2. JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. Innovation on Cultural and Creative Product–Designing Traditional Chinese Poetry into Product;Environment-Behaviour Proceedings Journal;2023-11-25

4. Innovation on Cultural and Creative Product-Designing Traditional Chinese Poetry into Product;ENVIRON-BEHAV PROC J;2023

5. Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

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