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High‐Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks
Advanced Science, 2021Alireza Nasiri, Jianjun Hu, Ming Hu
exaly
GENERATIVE GRAMMAR AND EUROPEAN LINGUISTICS
1972The development of the theory of generative grammar during the past fifteen years has led not only to considerable improvements in successive stages, but also to alternative proposals with respect to certain problems of theoretical interest. This concerns in particular the relation between syntax and semantics, where at present at least three different
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Skilful precipitation nowcasting using deep generative models of radar
Nature, 2021Amol Mandhane +2 more
exaly
Artificial intelligence for engineering design, analysis and manufacturing, 2018
Luca Zimmermann, Tianfu Chen, K. Shea
semanticscholar +1 more source
Luca Zimmermann, Tianfu Chen, K. Shea
semanticscholar +1 more source
What about lexical semantics if syntax is the only generative component of the grammar?
, 2019Tillmann Pross
semanticscholar +1 more source
Trust‐aware generative adversarial network with recurrent neural network for recommender systems
International Journal of Intelligent Systems, 2021Leyi Shi, Na Yan, Shuai Wang
exaly
Putting Grammar To Work: The Generative Grammar in the Generative Rhetoric
English Journal, 1968openaire +1 more source
A Generative Dependency Grammar
2002We propose a new kind of grammar: the Generative Dependency Grammar (GDG) based on dependency trees (DT) and a generative process. By generating a surface text using these GDG, the DT of the text is obtained too. GDG formalism is starting to be used for Romanian language.
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