colloquial 发表于 2025-3-23 10:41:34

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ATP861 发表于 2025-3-23 14:42:22

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关节炎 发表于 2025-3-23 20:44:14

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凝乳 发表于 2025-3-24 00:35:35

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微枝末节 发表于 2025-3-24 03:39:00

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Inkling 发表于 2025-3-24 09:44:30

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牛的细微差别 发表于 2025-3-24 12:14:57

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消毒 发表于 2025-3-24 16:44:27

Keyphrase Extraction Using Knowledge Graphsd on which we could detect the latent relations of two keyterms (i.e., noun words and named entities) without introducing many noises. Extensive experiments over real data show that our method outperforms the state-of-art methods including the graph-based co-occurrence methods and statistic-based clustering methods.

BRIEF 发表于 2025-3-24 21:44:56

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Blood-Vessels 发表于 2025-3-25 01:15:42

An Ontology-Based Latent Semantic Indexing Approach Using Long Short-Term Memory Networksncode the above two levels of features and match their embedding vectors utilizing LSTM networks. Finally, the experimental results reveal that LSTM-OLSI outperforms existing techniques and demonstrates deep comprehension of instances and articles.
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查看完整版本: Titlebook: Web and Big Data; First International Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin