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We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g., 10-150 MFLOPs). The new… Expand
This paper describes Fudan’s submission to CoNLL 2018’s shared task Universal Dependency Parsing. We jointly train models when two languages are similar according to linguistic typology and then do… Expand
Unsupervised word representations have demonstrated improvements in predictive generalization on various NLP tasks. Much effort has been devoted to effectively learning word embeddings, but little… Expand