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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 – 17 of 17 1 Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ... Jiao, Wenxiang; Wang, Xing; Tu, Zhaopeng. - : arXiv, 2021 BASE Show details 2 TexSmart: A System for Enhanced Natural Language Understanding ... 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; Jiang, Haiyun; Kang, Zhanhui. - : Underline Science Inc., 2021 BASE Show details 3 Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction ... 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; Li, Piji; Shi, Shuming. - : Underline Science Inc., 2021 BASE Show details 4 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 5 On the Copying Behaviors of Pre-Training 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; Chao, Lidia S.; Ding, Liang. - : Underline Science Inc., 2021 BASE Show details 6 deepQuest-py: large and distilled models for quality estimation Alva-Manchego, Fernando; Obamuyide, Abiola; Gajbhiye, Amit. - : Association for Computational Linguistics, 2021 BASE Show details 7 deepQuest-py: large and distilled models for quality estimation Gajbhiye, Amit; Specia, Lucia; Obamuyide, Abiola... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations ; 382 ; 389 (2021) BASE Show details 8 On the Inference Calibration of Neural Machine Translation ... Wang, Shuo; Tu, Zhaopeng; Shi, Shuming. - : arXiv, 2020 BASE Show details 9 Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models ... He, Shilin; Wang, Xing; Shi, Shuming. - : arXiv, 2020 BASE Show details 10 Neuron Interaction Based Representation Composition for Neural Machine Translation ... Li, Jian; Wang, Xing; Yang, Baosong. - : arXiv, 2019 BASE Show details 11 Multi-Granularity Self-Attention for Neural Machine Translation ... Hao, Jie; Wang, Xing; Shi, Shuming; Zhang, Jinfeng; Tu, Zhaopeng. - : arXiv, 2019 Abstract: Current state-of-the-art neural machine translation (NMT) uses a deep multi-head self-attention network with no explicit phrase information. However, prior work on statistical machine translation has shown that extending the basic translation unit from words to phrases has produced substantial improvements, suggesting the possibility of improving NMT performance from explicit modeling of phrases. In this work, we present multi-granularity self-attention (Mg-Sa): a neural network that combines multi-head self-attention and phrase modeling. Specifically, we train several attention heads to attend to phrases in either n-gram or syntactic formalism. Moreover, we exploit interactions among phrases to enhance the strength of structure modeling - a commonly-cited weakness of self-attention. Experimental results on WMT14 English-to-German and NIST Chinese-to-English translation tasks show the proposed approach consistently improves performance. Targeted linguistic analysis reveals that Mg-Sa indeed captures useful ... : EMNLP 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1909.02222 https://dx.doi.org/10.48550/arxiv.1909.02222 BASE Hide details 12 Towards Understanding Neural Machine Translation with Word Importance ... He, Shilin; Tu, Zhaopeng; Wang, Xing. - : arXiv, 2019 BASE Show details 13 Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons ... Hao, Jie; Wang, Xing; Shi, Shuming. - : arXiv, 2019 BASE Show details 14 Translating pro-drop languages with reconstruction models Tu, Zhaopeng; Shi, Shuming; Graham, Yvette... In: Wang, Longyue orcid:0000-0002-9062-6183 , Tu, Zhaopeng, Shi, Shuming, Zhang, Tong, Graham, Yvette and Liu, Qun orcid:0000-0002-7000-1792 (2018) Translating pro-drop languages with reconstruction models. In: Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2–7 Feb 2018, New Orleans, LA, USA. ISBN 978-1-57735-800-8 (2018) BASE Show details 15 Translating pro-drop languages with reconstruction models Shi, Shuming; Tu, Zhaopeng; Wang, Longyue... In: Wang, Longyue orcid:0000-0002-9062-6183 , Tu, Zhaopeng, Shi, Shuming, Zhang, Tong, Graham, Yvette and Liu, Qun orcid:0000-0002-7000-1792 (2018) Translating pro-drop languages with reconstruction models. In: 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 2 - 7 Feb 2018, New Orleans, LA, USA. ISBN 978-1-57735-800-8 (2018) BASE Show details 16 Translating Pro-Drop Languages with Reconstruction Models ... Wang, Longyue; Tu, Zhaopeng; Shi, Shuming. - : arXiv, 2018 BASE Show details 17 Exploiting Deep Representations for Neural Machine Translation ... Dou, Zi-Yi; Tu, Zhaopeng; Wang, Xing. - : arXiv, 2018 BASE Show details

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