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Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context.

X. Liang, S. Wu, M. Li, и Z. Li. EMNLP (1), стр. 155-164. Association for Computational Linguistics, (2021)

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Shuangzhi Li

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Jinjin Wu

Yinghua Wu

Changzhu Wu

Другие публикации лиц с тем же именем

Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy.P. Yang, F. Luo, S. Wu, J. Xu, D. Zhang, и X. Sun. CoRR, (2018)Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context.X. Liang, S. Wu, M. Li, и Z. Li. EMNLP (1), стр. 155-164. Association for Computational Linguistics, (2021)Towards Making the Most of LLM for Translation Quality Estimation.H. Huang, S. Wu, X. Liang, B. Wang, Y. Shi, P. Wu, M. Yang, и T. Zhao. NLPCC (1), том 14302 из Lecture Notes in Computer Science, стр. 375-386. Springer, (2023)Pretraining without wordpieces: learning over a vocabulary of millions of words.Z. Feng, D. Tang, X. Feng, C. Zhou, J. Liao, S. Wu, B. Qin, Y. Cao, и S. Shi. Int. J. Mach. Learn. Cybern., 15 (9): 3989-3998 (сентября 2024)Tencent Neural Machine Translation Systems for the WMT20 News Translation Task.S. Wu, X. Wang, L. Wang, F. Liu, J. Xie, Z. Tu, S. Shi, и M. Li. WMT@EMNLP, стр. 313-319. Association for Computational Linguistics, (2020)Regularizing Neural Machine Translation by Target-Bidirectional Agreement.Z. Zhang, S. Wu, S. Liu, M. Li, M. Zhou, и T. Xu. AAAI, стр. 443-450. AAAI Press, (2019)Robust Machine Reading Comprehension by Learning Soft labels.Z. Zhao, S. Wu, M. Yang, K. Chen, и T. Zhao. COLING, стр. 2754-2759. International Committee on Computational Linguistics, (2020)Recurrent Attention for Neural Machine Translation.J. Zeng, S. Wu, Y. Yin, Y. Jiang, и M. Li. EMNLP (1), стр. 3216-3225. Association for Computational Linguistics, (2021)Improving Unsupervised Extractive Summarization with Facet-Aware Modeling.X. Liang, S. Wu, M. Li, и Z. Li. ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 1685-1697. Association for Computational Linguistics, (2021)Iterative Nearest Neighbour Machine Translation for Unsupervised Domain Adaptation.H. Huang, S. Wu, X. Liang, Z. Zhou, M. Yang, и T. Zhao. ACL (Findings), стр. 13294-13301. Association for Computational Linguistics, (2023)

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