incite
发表于 2025-3-25 06:26:10
https://doi.org/10.1007/978-1-4612-4704-3ectively. Besides, we utilize graph attention to assemble the information of neighborhoods. We conduct extensive experiments on three real-world datasets and the results show that our model can achieve a significant improvement compared with baselines.
辞职
发表于 2025-3-25 10:43:22
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Frenetic
发表于 2025-3-25 13:01:34
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Hiatus
发表于 2025-3-25 18:12:40
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vector
发表于 2025-3-25 21:51:22
https://doi.org/10.1007/978-3-642-97990-3s graph and finally use modified heterogeneous skip-gram to learn embedding. Furthermore, we upgrade GERI to semi-supervised GERI (named SGERI) by incorporating label information on nodes. The effectiveness of our methods is demonstrated by extensive comparison experiments with strong baselines on various datasets.
ABIDE
发表于 2025-3-26 01:16:51
A. M. De Schepper,L. De Beuckeleer,P. Brackeistant supervision. The experiments on three public datasets - of news articles, Wikipedia and biomedical papers - demonstrate that the proposed strategy improves the performance of traditional state-of-the-art relation extractors significantly. We achieve an improvement of 5.13% in average F.-score over four competitive baselines.
MINT
发表于 2025-3-26 06:25:10
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不足的东西
发表于 2025-3-26 11:13:57
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MIR
发表于 2025-3-26 14:00:47
Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddingsts of the described cognitive map and the links are implications from three-valued propositional logic. Hence, for describing cognitive maps, a third logical value “possibly true” is being used in this paper. This allows to define new types of implications between concepts, which are unknown in bina
有恶臭
发表于 2025-3-26 18:56:42
Extracting Keyphrases from Research Papers Using Word Embeddings he met with international development, coalition, and Afghan officials, including some who were implementing the People’s Development Fund. Experiences illustrate the imbalance on the ground between the military’s heavily armed appearance and local settings and the contrast between the resources lo