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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Direct and indirect effects of independent language skills on the integrated writing performance of Chinese-speaking students with low proficiency [<Journal>] Liao, Xian [Verfasser]; Zhu, Xinhua [Verfasser]; Cheong, Choo Mui [Verfasser] DNB Subject Category Language Show details 2 Understanding the Difference Between Self-Feedback and Peer Feedback: A Comparative Study of Their Effects on Undergraduate Students' Writing Improvement Lu, Qi; Zhu, Xinhua; Cheong, Choo Mui In: Front Psychol (2021) BASE Show details 3 Secondary school students’ discourse synthesis performance on Chinese (L1) and English (L2) integrated writing assessments [<Journal>] Yu, Guoxing [Verfasser]; Li, Guan Ying [Verfasser]; Cheong, Choo Mui [Verfasser]. DNB Subject Category Language Show details 4 Differences between the relationship of L1 learners’ performance in integrated writing with both independent listening and independent reading cognitive skills [<Journal>] Cheong, Choo Mui [Verfasser]; Zhu, Xinhua [Sonstige]; Liao, Xian [Sonstige] DNB Subject Category Language Show details 5 A density compensation-based path computing model for measuring semantic similarity ... Zhu, Xinhua; Li, Fei; Chen, Hongchao; Peng, Qi. - : arXiv, 2015 Abstract: The shortest path between two concepts in a taxonomic ontology is commonly used to represent the semantic distance between concepts in the edge-based semantic similarity measures. In the past, the edge counting is considered to be the default method for the path computation, which is simple, intuitive and has low computational complexity. However, a large lexical taxonomy of such as WordNet has the irregular densities of links between concepts due to its broad domain but. The edge counting-based path computation is powerless for this non-uniformity problem. In this paper, we advocate that the path computation is able to be separated from the edge-based similarity measures and form various general computing models. Therefore, in order to solve the problem of non-uniformity of concept density in a large taxonomic ontology, we propose a new path computing model based on the compensation of local area density of concepts, which is equal to the number of direct hyponyms of the subsumers of concepts in their ... : 17 pages,11 figures ... Keyword: 68T50; Artificial Intelligence cs.AI; FOS Computer and information sciences; I.2.1 URL: https://arxiv.org/abs/1506.01245 https://dx.doi.org/10.48550/arxiv.1506.01245 BASE Hide details

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