Python Natural Language Processing J Thanaki, J Zhang, S Liu | 131 | 2018 |
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling Y Liu, F Meng, J Zhang, J Xu, Y Chen, J Zhou ACL2019 Long, 2019 | 107 | 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 EMNLP-IJCNLP 2019 Long, 2019 | 91* | 2019 |
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation S Chenze, Z Jinchao, F Yang, M Fandong, zhou Jie AAAI 2020, 2019 | 85* | 2019 |
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding Y Liu, F Meng, J Zhang, J Zhou, Y Chen, J Xu EMNLP-IJCNLP 2019 Long, 2019 | 78 | 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 EMNLP-IJCNLP 2019 Long, 2019 | 72 | 2019 |
A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis Y Liang, F Meng, J Zhang, Y Chen, J Xu, J Zhou Neurocomputing 454, 291-302, 2021 | 69 | 2021 |
Bridging text and video: A universal multimodal transformer for audio-visual scene-aware dialog Z Li, Z Li, J Zhang, Y Feng, J Zhou IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2476-2483, 2021 | 69 | 2021 |
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances Z Li, J Zhang, Z Fei, Y Feng, J Zhou ACL2021 long paper, 2021 | 56 | 2021 |
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation F Meng, J Zhang In Proceedings of AAAI 2019, Hawaii, USA, January, 2018 | 52 | 2018 |
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation C Shao, Y Feng, J Zhang, F Meng, X Chen, J Zhou ACL2019 Long, 2019 | 44 | 2019 |
Incorporating word reordering knowledge into attention-based neural machine translation J Zhang, M Wang, Q Liu, J Zhou Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 40 | 2017 |
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification S Ren, J Zhang, L Li, X Sun, J Zhou EMNLP2021 Long Paper, 2021 | 34 | 2021 |
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack K He, J Zhang, Y Yan, W XU, C Niu, J Zhou COLING2020 short, 2020 | 34 | 2020 |
Token-level Adaptive Training for Neural Machine Translation S Gu, J Zhang, F Meng, Y Feng, W Xie, J Zhou, D Yu EMNLP2020, 2020 | 31 | 2020 |
Bigop: Generating comprehensive big data workloads as a benchmarking framework Y Zhu, J Zhan, C Weng, R Nambiar, J Zhang, X Chen, L Wang Database Systems for Advanced Applications: 19th International Conference …, 2014 | 27 | 2014 |
Sequence-level training for non-autoregressive neural machine translation C Shao, Y Feng, J Zhang, F Meng, J Zhou Computational Linguistics 47 (4), 891-925, 2021 | 26 | 2021 |
Structure-enhanced pop music generation via harmony-aware learning X Zhang, J Zhang, Y Qiu, L Wang, J Zhou Proceedings of the 30th ACM International Conference on Multimedia, 1204-1213, 2022 | 25 | 2022 |
Towards expressive communication with internet memes: A new multimodal conversation dataset and benchmark Z Fei, Z Li, J Zhang, Y Feng, J Zhou arXiv preprint arXiv:2109.01839, 2021 | 18 | 2021 |
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder Y Qiu, J Zhang, J Zhou ACL2021, Findings of ACL, Long Paper, 2021 | 16 | 2021 |