| Encoding source language with convolutional neural network for machine translation F Meng, Z Lu, M Wang, H Li, W Jiang, Q Liu Proceedings of ACL 2015, 2015 | 108 | 2015 |
| Towards Robust Neural Machine Translation Y Cheng, Z Tu, F Meng, J Zhai, Y Liu Proceedings of ACL 2018, 2018 | 81 | 2018 |
| Modeling Localness for Self-Attention Networks B Yang, Z Tu, DF Wong, F Meng, LS Chao, T Zhang Proceedings of EMNLP 2018, 2018 | 70 | 2018 |
| Bridging the Gap between Training and Inference for Neural Machine Translation W Zhang, Y Feng, F Meng, D You, Q Liu Proceedings of ACL 2019, 2019 | 58 | 2019 |
| Interactive attention for neural machine translation F Meng, Z Lu, H Li, Q Liu Proceedings of COLING 2016, 2016 | 55 | 2016 |
| Neural machine translation with external phrase memory Y Tang, F Meng, Z Lu, H Li, PLH Yu arXiv preprint arXiv:1606.01792, 2016 | 41 | 2016 |
| Incremental Transformer with Deliberation Decoder for Document Grounded Conversations Z Li, C Niu, F Meng, Y Feng, Q Li, J Zhou Proceedings of ACL 2019, 2019 | 32 | 2019 |
| A deep memory-based architecture for sequence-to-sequence learning F Meng, Z Lu, Z Tu, H Li, Q Liu ICLR-Workshop 2016, 2016 | 26* | 2016 |
| GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling Y Liu, F Meng, J Zhang, J Xu, Y Chen, J Zhou Proceedings of ACL 2019, 2019 | 25 | 2019 |
| Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation Z Yang, J Zhang, F Meng, S Gu, Y Feng, J Zhou Proceedings of EMNLP 2019, 2019 | 18 | 2019 |
| DTMT: A Novel Deep Transition Architecture for Neural Machine Translation F Meng, J Zhang Proceedings of AAAI 2019, 2019 | 18 | 2019 |
| A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis Y Liang, F Meng, J Zhang, J Xu, Y Chen, J Zhou Proceedings of EMNLP 2019, 2019 | 15 | 2019 |
| Unsupervised paraphrasing by simulated annealing X Liu, L Mou, F Meng, H Zhou, J Zhou, S Song Proceedings of ACL 2020, 2020 | 14 | 2020 |
| Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation C Shao, Y Feng, J Zhang, F Meng, X Chen, J Zhou Proceedings of ACL 2019, 2019 | 14 | 2019 |
| Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation C Shao, J Zhang, Y Feng, F Meng, J Zhou Proceedings of AAAI 2020, 2020 | 13 | 2020 |
| Neural Machine Translation with Key-Value Memory-Augmented Attention F Meng, Z Tu, Y Cheng, H Wu, J Zhai, Y Yang, D Wang Proceedings of IJCAI 2018, 2018 | 12 | 2018 |
| Modeling term translation for document-informed machine translation F Meng, D Xiong, W Jiang, Q Liu Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 12* | 2014 |
| Translation with source constituency and dependency trees F Meng, J Xie, L Song, Y Lü, Q Liu Proceedings of EMNLP 2013, 1066-1076, 2013 | 12 | 2013 |
| CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding Y Liu, F Meng, J Zhang, J Zhou, Y Chen, J Xu Proceedings of EMNLP 2019, 2019 | 10 | 2019 |
| Iterative annotation transformation with predict-self reestimation for chinese word segmentation W Jiang, F Meng, Q Liu, Y Lü Proceedings of EMNLP 2012, 412-420, 2012 | 7 | 2012 |
Qun LiuNoah's Ark Lab, Huaweihuawei.com üzerinde doğrulanmış e-posta adresine sahip
