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Subsumption Prediction for E-Commerce Taxonomies
ESWC 2023
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ESWC 2023
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由 J Shi 著作被引用 10 次 — In this paper, we study the characteristics of e-commerce taxonomies, and propose a new subsump- tion prediction method based on the pre-trained language model ...
Subsumption Prediction for E-Commerce Taxonomies
Springer
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由 J Shi 著作2023被引用 10 次 — In this paper, we study the characteristics of e-commerce taxonomies, and propose a new subsumption prediction method based on the pre-trained language model ...
jingcshi/bert_subsumption: Subsumption prediction on e- ...
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This work studies the characteristics of e-commerce taxonomies, and propose a new subsumption prediction method based on the pre-trained language model BERT ...
Subsumption Prediction for E-Commerce Taxonomies
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In the last three months, efficiency was 94%, effectiveness was 91%, resulting in 85% productivity in the warehouse area. It is concluded that, with the ...
Subsumption prediction on e-commerce taxonomies - ORA
ORA - Oxford University Research Archive
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由 J Shi 著作2023被引用 10 次 — In this paper, we study the characteristics of e-commerce taxonomies, and propose a new subsumption prediction method based on the pre-trained ...
Subsumption Prediction on E-Commerce Taxonomies
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2023年6月13日 — Subsumption Prediction on E-Commerce Taxonomies. Published on Jun 13, 20239 Views. Jingchuan Shi · ESWC 2023 - Heraklion.
Subsumption Prediction for E−Commerce Taxonomies
Oxford Department of Computer Science
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Subsumption Prediction for E−Commerce Taxonomies. Jingchuan Shi‚ Jiaoyan Chen‚ Hang Dong‚ Ishita Khan‚ Lizzie Liang‚ Qunzhi Zhou‚ Zhe Wu and Ian Horrocks.
Jingchuan Shi
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Subsumption prediction for e-commerce taxonomies. J Shi, J Chen, H Dong, I Khan, L Liang, Q Zhou, Z Wu, I Horrocks. European Semantic Web Conference, 244-261 ...
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Subsumption Prediction for E-Commerce Taxonomies, 16. Two-View Graph Neural Networks for Knowledge Graph Completion, 17. GETT-QA: Graph Embedding Based T2T ...
Jingchuan Shi - Google 学术搜索
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Subsumption prediction for e-commerce taxonomies. J Shi, J Chen, H Dong, I Khan, L Liang, Q Zhou, Z Wu, I Horrocks. European Semantic Web Conference, 244-261 ...