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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 – 16 of 16 1 Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ... Jiao, Wenxiang; Wang, Xing; Tu, Zhaopeng. - : arXiv, 2021 BASE Show details 2 Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Jiao, Wenxiang; King, Irwin. - : Underline Science Inc., 2021 BASE Show details 3 Anatomical Study on the Safety of Anterior Cervical Craniovertebral Fusion with Clival Screw Placement in Children Aged 1–6 Years Zhang, Shao-Jie; Li, Kun; Li, Zhi-Jun... In: Int J Gen Med (2021) BASE Show details 4 Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation ... Hao, Yongchang; He, Shilin; Jiao, Wenxiang; Tu, Zhaopeng; Lyu, Michael; Wang, Xing. - : arXiv, 2020 Abstract: Non-Autoregressive machine Translation (NAT) models have demonstrated significant inference speedup but suffer from inferior translation accuracy. The common practice to tackle the problem is transferring the Autoregressive machine Translation (AT) knowledge to NAT models, e.g., with knowledge distillation. In this work, we hypothesize and empirically verify that AT and NAT encoders capture different linguistic properties of source sentences. Therefore, we propose to adopt Multi-Task learning to transfer the AT knowledge to NAT models through encoder sharing. Specifically, we take the AT model as an auxiliary task to enhance NAT model performance. Experimental results on WMT14 English-German and WMT16 English-Romanian datasets show that the proposed Multi-Task NAT achieves significant improvements over the baseline NAT models. Furthermore, the performance on large-scale WMT19 and WMT20 English-German datasets confirm the consistency of our proposed method. In addition, experimental results demonstrate that ... : NAACL 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2010.12868 https://arxiv.org/abs/2010.12868 BASE Hide details 5 Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models ... He, Shilin; Wang, Xing; Shi, Shuming. - : arXiv, 2020 BASE Show details 6 Information Aggregation for Multi-Head Attention with Routing-by-Agreement ... Li, Jian; Yang, Baosong; Dou, Zi-Yi. - : arXiv, 2019 BASE Show details 7 Neuron Interaction Based Representation Composition for Neural Machine Translation ... Li, Jian; Wang, Xing; Yang, Baosong. - : arXiv, 2019 BASE Show details 8 Multi-Granularity Self-Attention for Neural Machine Translation ... Hao, Jie; Wang, Xing; Shi, Shuming. - : arXiv, 2019 BASE Show details 9 Towards Understanding Neural Machine Translation with Word Importance ... He, Shilin; Tu, Zhaopeng; Wang, Xing. - : arXiv, 2019 BASE Show details 10 Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons ... Hao, Jie; Wang, Xing; Shi, Shuming. - : arXiv, 2019 BASE Show details 11 Exploiting Deep Representations for Neural Machine Translation ... Dou, Zi-Yi; Tu, Zhaopeng; Wang, Xing. - : arXiv, 2018 BASE Show details 12 Temporal Coding of Voice Pitch Contours in Mandarin Tones Peng, Fei; Innes-Brown, Hamish; McKay, Colette M.. - : Frontiers Media S.A., 2018 BASE Show details 13 Hardware string matching engine for large and dynamic pattern set ; Da xing dong tai zi fu chuan ji de ying jian pi pei ji ; 大型動態字符串集的硬件匹配機 Wang, Xing (王興). - : City University of Hong Kong, 2014 BASE Show details 14 Multi-Stride String Searching for High-Speed Content Inspection Pao, Derek; Wang, Xing. - : Oxford University Press, 2012 BASE Show details 15 Multi-String Searching for High-Speed Content Inspection Pao, Derek; Wang, Xing. - : Oxford University Press, 2012 BASE Show details 16 Multi-Stride String Searching for High-Speed Content Inspection Pao, Derek; Wang, Xing. - : Oxford University Press, 2012 BASE Show details

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