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Titlebook: Big Data; 10th CCF Conference, Tianrui Li,Rui Mao,Jie Hu Conference proceedings 2022 The Editor(s) (if applicable) and The Author(s), under

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樓主: Corticosteroids
21#
發(fā)表于 2025-3-25 03:20:38 | 只看該作者
Clustering-Enhanced Knowledge Graph Embedding,ch facilitates the use of KGs in downstream applications. However, most existing models ignore the semantic correlations among similar entities and relations. Indeed, we find there exist semantically similarities in entities or relations. To take advantage of these semantic correlations, we utilize
22#
發(fā)表于 2025-3-25 08:03:55 | 只看該作者
23#
發(fā)表于 2025-3-25 14:06:51 | 只看該作者
24#
發(fā)表于 2025-3-25 19:21:57 | 只看該作者
Intimiteit en seksualiteit bij dementieto the pointer network to generate content template. Finally, the content template is inputted into the text generator to generate the descriptive texts. Through experiments, the accuracy of the content planning and the BLEU of the generated texts have been improved, which verifies the effectiveness of our proposed data-to-text generation model.
25#
發(fā)表于 2025-3-25 20:15:13 | 只看該作者
Intimit?t in p?dagogischen Beziehungenr relations themselves, and the other is from the cluster information. By this way, the entities or relations can make full use of both the common information of their similar entities or relations and the unique information from themselves. Extensive experiments on popular benchmarks demonstrate the effectiveness of the proposed models.
26#
發(fā)表于 2025-3-26 00:24:04 | 只看該作者
A Data-to-Text Generation Model with Deduplicated Content Planning,to the pointer network to generate content template. Finally, the content template is inputted into the text generator to generate the descriptive texts. Through experiments, the accuracy of the content planning and the BLEU of the generated texts have been improved, which verifies the effectiveness of our proposed data-to-text generation model.
27#
發(fā)表于 2025-3-26 06:21:46 | 只看該作者
Clustering-Enhanced Knowledge Graph Embedding,r relations themselves, and the other is from the cluster information. By this way, the entities or relations can make full use of both the common information of their similar entities or relations and the unique information from themselves. Extensive experiments on popular benchmarks demonstrate the effectiveness of the proposed models.
28#
發(fā)表于 2025-3-26 12:15:08 | 只看該作者
1865-0929 022.?.The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data..978-981-19-8330-6978-981-19-8331-3Series ISSN 1865-0929 Series E-ISSN 1865-0
29#
發(fā)表于 2025-3-26 14:32:03 | 只看該作者
J?rg-Uwe Nieland,Dagmar Hoffmannch follows an align-based paradigm. Then, to accelerate STS, we propose a trajectory representation framework based on symbolic representation to support efficient rough match. Finally, extensive experiments on two real-world datasets demonstrate the effectiveness and efficiency of our framework.
30#
發(fā)表于 2025-3-26 20:48:03 | 只看該作者
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