Publications
2019

1. 杨郑鑫,李京谕,胡镓伟,冯洋, 基于增量训练的维汉神经机器翻译系统, 厦门大学学报(自然科学版) 第58卷,第2期, 195-199, 2019pdfpdf

2. 李响,刘洋,陈伟,刘群. 利用单语数据改进神经机器翻译压缩模型的翻译质量[J]. 中文信息学报, 2019, 33(7): 46-55.pdfpdf

3. 谷舒豪、单勇、谢婉莹、郭登级、王树根、邵晨泽、薛海洋、张良、冯洋. 基于数据增强及领域适应的神经机器翻译技术,江西师范大学学报(自然科学版),2019年11月,第43卷,第6期.pdfpdf

4. Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou, Incremental Transformer with Deliberation Decoder for Document Grounded Conversations, the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), July, 2019, 12–21, Florence, Italy, 2019,pdfpdf

5. Shuhao Gu, Yang Feng, Improving Multi-Head Attention with CapsuleNetworks, The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019), October 9-14, 2019, 0-1, Dunhuang, Gansu Province, China, 2019,pdfpdf

6. Haiyang Xue, Yang Feng, Di You, Wen Zhang, Jingyu Li, Neural Machine Translation with Bilingual History Involved Attention, The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019), October 9-14, 2019, 0-1, Dunhuang, Gansu Province, China, 2019,pdfpdf

7. Jie Zhu, Shugen Wang,Yanru Wu, Meijing Guan, and Yang Feng, A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable, The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019), October 9-14, 2019, 0-1, Dunhuang, Gansu Province, China, 2019,pdfpdf

8. 李京谕, 冯洋, 基于联合注意力机制的篇章级机器翻译, The Eighteenth China National Conference on Computational Linguistics (CCL 2019), 2019.10.18, 0-1, 云南,昆明, 2019pdfpdf

9. Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng and Jie Zhou, Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level NMT, 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), November 3–7, 1527–1537, Hong Kong, China, 2019, 1259,pdfpdf

10. Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu, Bridging the Gap between Training and Inference for Neural Machine Translation, the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), July, 2019, 4334–4343, Florence, Italy, 2019,pdfpdf

11. Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou, Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation, the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), July, 2019, 3013–3024, Florence, Italy, 2019,pdfpdf

12. Lei Shen, Yang Feng, Haolan Zhan, Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables, the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), July, 2019, 5497–5502, Florence, Italy, 2019,pdfpdf

13. Shuhao Gu, Yang Feng, Qun Liu, Improving Domain Adaptation Translation with Domain Invariant and Specific Information, 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019), June 2-June 7, 2019, 3081-3091, Minneapolis, America, 2019,pdfpdf