长处 发表于 2025-3-28 17:56:04

Spatiotemporal Data Cleaning and Knowledge Fusion,leaning. We first briefly introduce the motivation and background of knowledge fusion and data cleaning. Then, we discuss some of the recent methods for knowledge fusion and spatiotemporal data cleaning. Finally, we outline some future directions of knowledge fusion and data cleaning.

Intentional 发表于 2025-3-28 20:21:57

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镶嵌细工 发表于 2025-3-29 00:47:59

Applications of Knowledge Representation Learning, chapter introduces the overall framework of KRL and the specific model design. In addition, we introduce the corresponding experimental evaluation tasks, including the evaluation metrics and benchmark datasets of each model. Afterwards, we summarize how to apply KRL in various downstream NLP tasks.

闷热 发表于 2025-3-29 03:29:33

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盟军 发表于 2025-3-29 11:08:45

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painkillers 发表于 2025-3-29 14:41:38

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肌肉 发表于 2025-3-29 17:00:08

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Systemic 发表于 2025-3-29 22:58:03

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duplicate 发表于 2025-3-30 03:11:35

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Conquest 发表于 2025-3-30 04:02:55

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查看完整版本: Titlebook: MDATA: A New Knowledge Representation Model; Theory, Methods and Yan Jia,Zhaoquan Gu,Aiping Li Book 2021 Springer Nature Switzerland AG 20