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ORCIDQun Liu 0001
刘群
Person information
- affiliation: Huawei Noah's Ark Lab
- affiliation (former): Dublin City University
- affiliation (former): ADAPT Center
- affiliation (former): CNGL
- affiliation (former): Institute of Computing Technology, Chinese Academy of Sciences
- affiliation (former): University of Chinese Academy of Sciences
- unicode name: 刘群
Other persons with the same name
- Qun Liu — disambiguation page
- Qun Liu 0002
![[0000-0002-5427-9284]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5427-9284")
— Hexi University, Zhangye, China (and 1 more) - Qun Liu 0003 — Northeast Normal University, Changchun, Jilin, China
- Qun Liu 0004 — Louisiana State University, Baton Rouge, LA, USA
- Qun Liu 0005 — Chongqing University of Posts and Telecommunications, Chongqing, China
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2020 – today
- 2021
[j21]Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
Improving task-agnostic BERT distillation with layer mapping search. Neurocomputing 461: 194-203 (2021)- [j20]Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun:
Learning to Generate Explainable Plots for Neural Story Generation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 585-593 (2021) - [c235]Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. AAAI 2021: 13279-13287 - [c234]Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu:
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. AAAI 2021: 13657-13665 - [c233]Xuancheng Ren, Xu Sun, Houfeng Wang, Qun Liu:
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? AAAI 2021: 13736-13744 - [c232]Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning. ACL/IJCNLP (Findings) 2021: 1569-1576 - [c231]Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang:
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management. ACL/IJCNLP (Findings) 2021: 1591-1602 - [c230]Xingshan Zeng, Liangyou Li, Qun Liu:
RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer. ACL/IJCNLP (Findings) 2021: 2461-2474 - [c229]Meng Zhang, Liangyou Li, Qun Liu:
Two Parents, One Child: Dual Transfer for Low-Resource Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 2726-2738 - [c228]Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang:
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering. ACL/IJCNLP (1) 2021: 4111-4124 - [c227]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) 2021: 4334-4348 - [c226]Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models. ACL/IJCNLP (1) 2021: 5146-5157 - [c225]Jie He, Bo Peng, Yi Liao, Qun Liu, Deyi Xiong:
TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models. ACL/IJCNLP (1) 2021: 6012-6025 - [c224]Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
GhostBERT: Generate More Features with Cheap Operations for BERT. ACL/IJCNLP (1) 2021: 6512-6523 - [c223]Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu:
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. ICANN (3) 2021: 570-581 - [c222]Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Hao Yang, Qun Liu, Jakob Grue Simonsen:
On Position Embeddings in BERT. ICLR 2021 - [c221]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. ICLR 2021 - [c220]Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma:
Improved OOD Generalization via Adversarial Training and Pretraing. ICML 2021: 11987-11997 - [c219]Xingshan Zeng, Liangyou Li, Qun Liu:
Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021. IWSLT 2021: 149-153 - [i90]Junqiu Wei, Qun Liu, Yinpeng Guo, Xin Jiang:
Training Multilingual Pre-trained Language Model with Byte-level Subwords. CoRR abs/2101.09469 (2021) - [i89]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
LightMBERT: A Simple Yet Effective Method for Multilingual BERT Distillation. CoRR abs/2103.06418 (2021) - [i88]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. CoRR abs/2103.08933 (2021) - [i87]Liangyou Li, Andy Way, Qun Liu:
Dependency Graph-to-String Statistical Machine Translation. CoRR abs/2103.11089 (2021) - [i86]Tong Cui, Jinghui Xiao, Liangyou Li, Xin Jiang, Qun Liu:
An Approach to Improve Robustness of NLP Systems against ASR Errors. CoRR abs/2103.13610 (2021) - [i85]Krtin Kumar, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu:
Improving Neural Machine Translation with Compact Word Embedding Tables. CoRR abs/2104.08677 (2021) - [i84]Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu:
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. CoRR abs/2104.11928 (2021) - [i83]Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian:
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. CoRR abs/2104.12369 (2021) - [i82]Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang:
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management. CoRR abs/2105.06041 (2021) - [i81]Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Improved OOD Generalization via Adversarial Training and Pre-training. CoRR abs/2105.11144 (2021) - [i80]Xingshan Zeng, Liangyou Li, Qun Liu:
Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021. CoRR abs/2106.00197 (2021) - [i79]Xingshan Zeng, Liangyou Li, Qun Liu:
RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer. CoRR abs/2106.04833 (2021) - [i78]Yinpeng Guo, Liangyou Li, Xin Jiang, Qun Liu:
Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision. CoRR abs/2106.05166 (2021) - [i77]Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang:
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering. CoRR abs/2106.07174 (2021) - [i76]Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models. CoRR abs/2107.13686 (2021) - [i75]Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu:
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training. CoRR abs/2109.02284 (2021) - [i74]Shaobo Li, Qun Liu, Xin Jiang, Yichun Yin, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Lifeng Shang:
Integrating Regular Expressions with Neural Networks via DFA. CoRR abs/2109.02882 (2021) - [i73]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. CoRR abs/2109.03034 (2021) - [i72]Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu:
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models. CoRR abs/2109.03137 (2021) - [i71]Yinquan Lu, Haonan Lu, Guirong Fu, Qun Liu:
KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs. CoRR abs/2109.04223 (2021) - [i70]Fei Mi, Yitong Li, Yasheng Wang, Xin Jiang, Qun Liu:
CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems. CoRR abs/2109.04645 (2021) - [i69]Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang:
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation. CoRR abs/2109.05812 (2021) - [i68]Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang, Qun Liu:
Improving Unsupervised Question Answering via Summarization-Informed Question Generation. CoRR abs/2109.07954 (2021) - [i67]Baojun Wang, Zhao Zhang, Kun Xu, Guang-Yuan Hao, Yuyang Zhang, Lifeng Shang, Linlin Li, Xiao Chen, Xin Jiang, Qun Liu:
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling. CoRR abs/2109.08818 (2021) - [i66]Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu:
bert2BERT: Towards Reusable Pretrained Language Models. CoRR abs/2110.07143 (2021) - [i65]Xinyan Zhao, Bin He, Yasheng Wang, Yitong Li, Fei Mi, Yajiao Liu, Xin Jiang, Qun Liu, Huanhuan Chen:
UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues. CoRR abs/2110.08032 (2021) - 2020
- [j19]Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun:
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2364-2373 (2020) - [c218]Lei Zheng, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Multi-Channel Reverse Dictionary Model. AAAI 2020: 312-319 - [c217]Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. AAAI 2020: 9474-9481 - [c216]Yi Liao, Xin Jiang, Qun Liu:
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order. ACL 2020: 263-274 - [c215]Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu:
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT. ACL 2020: 4166-4176 - [c214]Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun:
Word-level Textual Adversarial Attacking as Combinatorial Optimization. ACL 2020: 6066-6080 - [c213]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. EMNLP (1) 2020: 509-521 - [c212]Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu:
Accurate Word Alignment Induction from Neural Machine Translation. EMNLP (1) 2020: 566-576 - [c211]Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu:
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. EMNLP (1) 2020: 1016-1021 - [c210]Yudong Zhu, Di Zhou, Jinghui Xiao, Xin Jiang, Xiao Chen, Qun Liu:
HyperText: Endowing FastText with Hyperbolic Geometry. EMNLP (Findings) 2020: 1166-1171 - [c209]Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. EMNLP (Findings) 2020: 2281-2290 - [c208]Jie He, Tao Wang, Deyi Xiong, Qun Liu:
The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation. EMNLP (Findings) 2020: 3662-3672 - [c207]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
TinyBERT: Distilling BERT for Natural Language Understanding. EMNLP (Findings) 2020: 4163-4174 - [c206]Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh:
From Unsupervised Machine Translation to Adversarial Text Generation. ICASSP 2020: 8194-8198 - [c205]Wen Zhang, Yang Feng, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation (Extended Abstract). IJCAI 2020: 4790-4794 - [c204]Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu:
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation. AACL/IJCNLP 2020: 191-200 - [c203]Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. NeurIPS 2020 - [c202]Yuyang Zhang, Jintao Yu, Kai Wang, Yichun Yin, Cheng Chen, Qun Liu:
The Solution of Huawei Cloud & Noah's Ark Lab to the NLPCC-2020 Challenge: Light Pre-Training Chinese Language Model for NLP Task. NLPCC (2) 2020: 524-533 - [c201]Wei Peng, Jianfeng Liu, Minghan Wang, Liangyou Li, Xupeng Meng, Hao Yang, Qun Liu:
Huawei's Submissions to the WMT20 Biomedical Translation Task. WMT@EMNLP 2020: 857-861 - [c200]Zhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu:
PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. WSDM 2020: 663-671 - [e1]Qun Liu, David Schlangen:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2020 - Demos, Online, November 16-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-62-0 [contents] - [i64]Wei Peng, Chongxuan Huang, Tianhao Li, Yun Chen, Qun Liu:
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation. CoRR abs/2004.02577 (2020) - [i63]Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. CoRR abs/2004.04037 (2020) - [i62]Yi Liao, Xin Jiang, Qun Liu:
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order. CoRR abs/2004.11579 (2020) - [i61]Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu:
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT. CoRR abs/2004.14786 (2020) - [i60]Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu:
Accurate Word Alignment Induction from Neural Machine Translation. CoRR abs/2004.14837 (2020) - [i59]Meng Zhang, Xin Jiang, Yang Liu, Qun Liu:
Learning to Detect Unacceptable Machine Translations for Downstream Tasks. CoRR abs/2005.03925 (2020) - [i58]Shuai Zhang, Peng Zhang, Xindian Ma, Junqiu Wei, Ningning Wang, Qun Liu:
TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling. CoRR abs/2008.01547 (2020) - [i57]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. CoRR abs/2009.12812 (2020) - [i56]Yang Bai, Xiaoguang Li, Gang Wang, Chaoliang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, Qun Liu:
SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval. CoRR abs/2010.00768 (2020) - [i55]Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu:
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. CoRR abs/2010.03034 (2020) - [i54]Yudong Zhu, Di Zhou, Jinghui Xiao, Xin Jiang, Xiao Chen, Qun Liu:
HyperText: Endowing FastText with Hyperbolic Geometry. CoRR abs/2010.16143 (2020) - [i53]Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Qun Liu, Maosong Sun:
Know What You Don't Need: Single-Shot Meta-Pruning for Attention Heads. CoRR abs/2011.03770 (2020) - [i52]Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh:
From Unsupervised Machine Translation To Adversarial Text Generation. CoRR abs/2011.05449 (2020) - [i51]Mingzhou Xu, Liangyou Li, Derek F. Wong, Qun Liu, Lidia S. Chao:
Document Graph for Neural Machine Translation. CoRR abs/2012.03477 (2020) - [i50]Bin He, Xin Jiang, Jinghui Xiao, Qun Liu:
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning. CoRR abs/2012.03551 (2020) - [i49]Bin He, Di Zhou, Jing Xie, Jinghui Xiao, Xin Jiang, Qun Liu:
PPKE: Knowledge Representation Learning by Path-based Pre-training. CoRR abs/2012.03573 (2020) - [i48]Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
Improving Task-Agnostic BERT Distillation with Layer Mapping Search. CoRR abs/2012.06153 (2020) - [i47]Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu:
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. CoRR abs/2012.14022 (2020) - [i46]Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. CoRR abs/2012.15534 (2020) - [i45]Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning. CoRR abs/2012.15699 (2020) - [i44]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. CoRR abs/2012.15701 (2020) - [i43]Peyman Passban, Puneeth S. M. Saladi, Qun Liu:
Revisiting Robust Neural Machine Translation: A Transformer Case Study. CoRR abs/2012.15710 (2020)
2010 – 2019
- 2019
- [j18]Iacer Calixto, Qun Liu:
An error analysis for image-based multi-modal neural machine translation. Mach. Transl. 33(1-2): 155-177 (2019) - [j17]Hui Yu, Weizhi Xu, Shouxun Lin, Qun Liu:
Machine Translation Evaluation Metric Based on Dependency Parsing Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(4): 44:1-44:15 (2019) - [c199]Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu:
ERNIE: Enhanced Language Representation with Informative Entities. ACL (1) 2019: 1441-1451 - [c198]Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu:
Decomposable Neural Paraphrase Generation. ACL (1) 2019: 3403-3414 - [c197]Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation. ACL (1) 2019: 4334-4343 - [c196]Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun:
Modeling Semantic Compositionality with Sememe Knowledge. ACL (1) 2019: 5706-5715 - [c195]Shuhao Gu, Yang Feng, Qun Liu:
Improving Domain Adaptation Translation with Domain Invariant and Specific Information. NAACL-HLT (1) 2019: 3081-3091 - [c194]Wei Peng, Jianfeng Liu, Liangyou Li, Qun Liu:
Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task. WMT (3) 2019: 164-168 - [i42]Shuhao Gu, Yang Feng, Qun Liu:
Improving Domain Adaptation Translation with Domain Invariant and Specific Information. CoRR abs/1904.03879 (2019) - [i41]Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh:
Bilingual-GAN: A Step Towards Parallel Text Generation. CoRR abs/1904.04742 (2019) - [i40]Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu:
ERNIE: Enhanced Language Representation with Informative Entities. CoRR abs/1905.07129 (2019) - [i39]Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation. CoRR abs/1906.02448 (2019) - [i38]Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu:
Decomposable Neural Paraphrase Generation. CoRR abs/1906.09741 (2019) - [i37]Yi Liao, Yasheng Wang, Qun Liu, Xin Jiang:
GPT-based Generation for Classical Chinese Poetry. CoRR abs/1907.00151 (2019) - [i36]Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun:
Modeling Semantic Compositionality with Sememe Knowledge. CoRR abs/1907.04744 (2019) - [i35]Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. CoRR abs/1908.07795 (2019) - [i34]Junqiu Wei, Xiaozhe Ren, Xiaoguang Li, Wenyong Huang, Yi Liao, Yasheng Wang, Jiashu Lin, Xin Jiang, Xiao Chen, Qun Liu:
NEZHA: Neural Contextualized Representation for Chinese Language Understanding. CoRR abs/1909.00204 (2019) - [i33]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
TinyBERT: Distilling BERT for Natural Language Understanding. CoRR abs/1909.10351 (2019) - [i32]Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun:
Enhancing Recurrent Neural Networks with Sememes. CoRR abs/1910.08910 (2019) - [i31]Yuan Zang, Chenghao Yang, Fanchao Qi, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun:
Open the Boxes of Words: Incorporating Sememes into Textual Adversarial Attack. CoRR abs/1910.12196 (2019) - [i30]Liangyou Li, Xin Jiang, Qun Liu:
Pretrained Language Models for Document-Level Neural Machine Translation. CoRR abs/1911.03110 (2019) - [i29]Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu:
How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation? CoRR abs/1911.03154 (2019) - [i28]Yinpeng Guo, Yi Liao, Xin Jiang, Qing Zhang, Yibo Zhang, Qun Liu:
Zero-Shot Paraphrase Generation with Multilingual Language Models. CoRR abs/1911.03597 (2019) - [i27]Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. CoRR abs/1912.00147 (2019) - [i26]Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun:
Learning to Predict Explainable Plots for Neural Story Generation. CoRR abs/1912.02395 (2019) - [i25]Lei Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Multi-channel Reverse Dictionary Model. CoRR abs/1912.08441 (2019) - 2018
- [c193]Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
Translating Pro-Drop Languages With Reconstruction Models. AAAI 2018: 4937-4945 - [c192]Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin:
Knowledge Diffusion for Neural Dialogue Generation. ACL (1) 2018: 1489-1498 - [c191]Koel Dutta Chowdhury, Mohammed Hasanuzzaman, Qun Liu:
Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data. DeepLo@ACL 2018: 33-42 - [c190]Wen Zhang, Jiawei Hu, Yang Feng, Qun Liu:
Refining Source Representations with Relation Networks for Neural Machine Translation. COLING 2018: 1292-1303 - [c189]Peyman Passban, Andy Way, Qun Liu:
Tailoring Neural Architectures for Translating from Morphologically Rich Languages. COLING 2018: 3134-3145 - [c188]Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu:
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism. EMNLP 2018: 2997-3002 - [c187]Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu:
Speeding Up Neural Machine Translation Decoding by Cube Pruning. EMNLP 2018: 4284-4294 - [c186]Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin:
Learning Tag Dependencies for Sequence Tagging. IJCAI 2018: 4581-4587 - [c185]Henry Elder, Sebastian Gehrmann, Alexander O'Connor, Qun Liu:
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language. INLG 2018: 457-462 - [c184]Peyman Passban, Qun Liu, Andy Way:
Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation. NAACL-HLT 2018: 58-68 - [i24]Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
Translating Pro-Drop Languages with Reconstruction Models. CoRR abs/1801.03257 (2018) - [i23]Peyman Passban, Qun Liu, Andy Way:
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation. CoRR abs/1804.06506 (2018) - [i22]Wen Zhang, Jiawei Hu, Yang Feng, Qun Liu:
Refining Source Representations with Relation Networks for Neural Machine Translation. CoRR abs/1805.11154 (2018) - [i21]Chao-Hong Liu, Declan Groves, Hayakawa Akira, Alberto Poncelas, Qun Liu:
Understanding Meanings in Multilingual Customer Feedback. CoRR abs/1806.01694 (2018) - [i20]