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Titlebook: Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data; First China Conferen Huajun Chen,Heng Ji,Tong Ruan Confer

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樓主: Jefferson
51#
發(fā)表于 2025-3-30 10:40:21 | 只看該作者
52#
發(fā)表于 2025-3-30 14:44:08 | 只看該作者
Large Scale Semantic Relation Discovery: Toward Establishing the Missing Link Between Wikipedia and , which is mostly only human readable and incomprehensible for computer processing. To establish the missing link from Wikipedia to semantic network, this paper proposes a relation discovery method, which can: (1) discover and characterize a large collection of relations from Wikipedia by exploiting
53#
發(fā)表于 2025-3-30 19:35:55 | 只看該作者
Biomedical Event Trigger Detection Based on Hybrid Methods Integrating Word Embeddingsbased on single classifiers, and the words encoded by one-hot are unable to represent the semantic information. In this paper, we utilize hybrid methods integrating word embeddings to get higher performance. In hybrid methods, first, multiple single classifiers are constructed based on rich manual f
54#
發(fā)表于 2025-3-31 00:40:42 | 只看該作者
55#
發(fā)表于 2025-3-31 02:29:57 | 只看該作者
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發(fā)表于 2025-3-31 08:54:38 | 只看該作者
An Initial Ingredient Analysis of Drugs Approved by China Food and Drug Administration used in human health care in many countries and regions. There are also a large number of electronic drug knowledge bases publicly available. In China, however, there is hardly any publicly available well-structured drug knowledge base, may due to two different types of medicine: Chinese traditiona
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發(fā)表于 2025-3-31 10:44:52 | 只看該作者
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發(fā)表于 2025-3-31 14:43:41 | 只看該作者
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發(fā)表于 2025-3-31 18:48:12 | 只看該作者
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發(fā)表于 2025-4-1 00:32:00 | 只看該作者
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