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Article
Open AccessParadigm Shift in Natural Language Processing
In the era of deep learning, modeling for most natural language processing (NLP) tasks has converged into several mainstream paradigms. For example, we usually adopt the sequence labeling paradigm to solve a b...
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Article
Open AccessMulti-dimensional resource allocation strategy for LEO satellite communication uplinks based on deep reinforcement learning
In the LEO satellite communication system, the resource utilization rate is very low due to the constrained resources on satellites and the non-uniform distribution of traffics. In addition, the rapid movement...