
Yue Zhang 0004
Person information
- affiliation: Westlake University, School of Engineering, Hangzhou, China
- affiliation (2012 - 2018): Singapore University of Technology and Design, Singapore
- affiliation (PhD): Oxford University, UK
Other persons with the same name
- Yue Zhang — disambiguation page
- Yue Zhang 0001 — University of California, Irvine, CA, USA
- Yue Zhang 0002 — University of Pittsburgh, PA, USA
- Yue Zhang 0003 — University of Montreal, Bioinformatics and Genomics, Canada
- Yue Zhang 0005 — University of Western Ontario, London, ON, Canada
- Yue Zhang 0006 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Yue Zhang 0007 — University of British Columbia, Vancouver, BC, Canada
- Yue Zhang 0008 — Shenyang Normal University, China
- Yue Zhang 0009 — Oregon State University, Corvallis, OR, USA
- Yue Zhang 0010
— Beihang University, Fert Beijing Institute, Beijing, China (and 1 more)
- Yue Zhang 0011
— University of Leicester, Department of Engineering, UK (and 1 more)
- Yue Zhang 0012 — East China Normal University, Shanghai, China
- Yue Zhang 0014
— Imperial College London, UK (and 1 more)
- Yue Zhang 0015
— Harbin Institute of Technology, Biocomputing Research Center, China
- Yue Zhang 0016
— Chinese Academy of Sciences, Institute of Electronic, Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing, China
- Yue Zhang 0017
— Pennsylvania State University, Smeal College of Business, University Park, PA, USA (and 1 more)
- Yue Zhang 0018 — Shanghai Jiao Tong University, School of Life Sciences and Biotechnology, Department of Bioinformatics and Biostatistics, China
- Yue Zhang 0019
(aka: Yue J. Zhang) — Boston University, Center for Information and Systems Engineering, Boston, MA, USA
- Yue Zhang 0020
— City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Yue Zhang 0021
— Tsinghua University, Graduate School at Shenzhen, China
- Yue Zhang 0022
— Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Yue Zhang 0023 — University of Toledo, College of Business and Innovation, OH, USA
- Yue Zhang 0024
— University of Washington, School of Computer Science and Engineering, Seattle, WA, USA
- Yue Zhang 0025
— Jinan University, College of Information Science and Technology, Guangzhou, China
- Yue Zhang 0026
— Washington State University, School of Electrical Engineering and Computer Science, Pullman, WA, USA
- Yue Zhang 0027 — North China Electric Power University, School of Control and Computer Engineering, Beijing, China
- Yue Zhang 0028
— North China Electric Power University, Department of Automation, Baoding, China
- Yue Zhang 0029
— HAOHAN Data Technology Company Ltd., Beijing, China
- Yue Zhang 0030
— Beijing University of Chemical Technology, College of Information Science and Technology, China
- Yue Zhang 0031
— Tianjin University, College of Intelligence and Computing, China
- Yue Zhang 0032
— Northeastern University, College of Information Science and Engineering, Shenyang, China
- Yue Zhang 0033 — Southern University of Science and Technology, Department of Electrical and Electronic Engineering, Shenzhen, China (and 1 more)
- Yue Zhang 0034
— Tsinghua University, Department of Electronic Engineering, BNRist, Beijing, China
- Yue Zhang 0035
— Qingdao University, College of Computer Science and Technology, China
- Yue Zhang 0036
— Siemens Healthineers, Digital Technology and Innovation, Princeton, NJ, USA (and 1 more)
- Yue Zhang 0037
— Northeastern University, College of Science, Shenyang, China
- Yue Zhang 0038
— Jiujiang University, School of Information Science and Technology, China (and 1 more)
- Yue Zhang 0039
— Xi'an Polytechnic University, Department of Electrical Engineering, China
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
- [j20]Hongmin Wang, Jie Yang, Yue Zhang:
From Genesis to Creole Language: Transfer Learning for Singlish Universal Dependencies Parsing and POS Tagging. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 1:1-1:29 (2020) - [j19]Yinxia Lou, Yue Zhang, Fei Li, Tao Qian, Donghong Ji:
Emoji-Based Sentiment Analysis Using Attention Networks. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(5): 64:1-64:13 (2020) - [j18]Yue Zhang
, Yile Wang
, Jie Yang
:
Lattice LSTM for Chinese Sentence Representation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1506-1519 (2020) - [j17]Kai Song
, Xiaoqing Zhou, Heng Yu, Zhongqiang Huang, Yue Zhang
, Weihua Luo
, Xiangyu Duan, Min Zhang:
Towards Better Word Alignment in Transformer. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1801-1812 (2020) - [j16]Hao Fei, Donghong Ji, Yue Zhang
, Yafeng Ren
:
Topic-Enhanced Capsule Network for Multi-Label Emotion Classification. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1839-1848 (2020) - [j15]Leilei Gan
, Yue Zhang
:
Investigating Self-Attention Network for Chinese Word Segmentation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2933-2941 (2020) - [c174]Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji:
Latent Emotion Memory for Multi-Label Emotion Classification. AAAI 2020: 7692-7699 - [c173]Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-Yun Ma, Dong Yu:
Relation Extraction Exploiting Full Dependency Forests. AAAI 2020: 8034-8041 - [c172]Kai Song, Kun Wang, Heng Yu, Yue Zhang, Zhongqiang Huang, Weihua Luo, Xiangyu Duan, Min Zhang:
Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations. AAAI 2020: 8886-8893 - [c171]Jinghan Zhang, Yuxiao Ye, Yue Zhang, Likun Qiu, Bin Fu, Yang Li, Zhenglu Yang, Jian Sun:
Multi-Point Semantic Representation for Intent Classification. AAAI 2020: 9531-9538 - [c170]Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang:
Evaluating Commonsense in Pre-Trained Language Models. AAAI 2020: 9733-9740 - [c169]Jiangqiao Yan, Yue Zhang, Zhonghan Chang, Tengfei Zhang, Menglong Yan, Wenhui Diao, Hongqi Wang, Xian Sun:
FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection. AAAI 2020: 12573-12580 - [c168]Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng, Weihua Luo:
Multiscale Collaborative Deep Models for Neural Machine Translation. ACL 2020: 414-426 - [c167]Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou:
MuTual: A Dataset for Multi-Turn Dialogue Reasoning. ACL 2020: 1406-1416 - [c166]Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang:
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences. ACL 2020: 1570-1579 - [c165]Bo Zhang, Yue Zhang, Rui Wang, Zhenghua Li, Min Zhang:
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks. ACL 2020: 3249-3258 - [c164]Qiji Zhou, Yue Zhang, Donghong Ji, Hao Tang:
AMR Parsing with Latent Structural Information. ACL 2020: 4306-4319 - [c163]Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen, Dong Yu:
ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT. ACL 2020: 5429-5434 - [c162]Chen Jia, Yue Zhang:
Multi-Cell Compositional LSTM for NER Domain Adaptation. ACL 2020: 5906-5917 - [c161]Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu:
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. ACL 2020: 6344-6354 - [c160]Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang:
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. ACL 2020: 6611-6628 - [c159]Qiankun Fu, Yue Zhang, Jiangming Liu, Meishan Zhang:
DRTS Parsing with Structure-Aware Encoding and Decoding. ACL 2020: 6818-6828 - [c158]Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge, Dong Yu:
Structural Information Preserving for Graph-to-Text Generation. ACL 2020: 7987-7998 - [c157]Sen Yang, Leyang Cui, Jun Xie, Yue Zhang:
Making the Best Use of Review Summary for Sentiment Analysis. COLING 2020: 173-184 - [c156]Zhongqing Wang, Xiujun Zhu, Yue Zhang, Shoushan Li, Guodong Zhou:
Sentiment Forecasting in Dialog. COLING 2020: 2448-2458 - [c155]Yile Wang, Leyang Cui, Yue Zhang:
Does Chinese BERT Encode Word Structure? COLING 2020: 2826-2836 - [c154]Qingrong Xia, Rui Wang, Zhenghua Li, Yue Zhang, Min Zhang:
Semantic Role Labeling with Heterogeneous Syntactic Knowledge. COLING 2020: 2979-2990 - [c153]Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. COLING 2020: 4275-4286 - [c152]Yue Zhang, Arti Ramesh:
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. ECAI 2020: 1698-1705 - [c151]Yue Zhang, Arti Ramesh:
Learning Fairness-Aware Relational Structures. ECAI 2020: 2543-2550 - [c150]Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang:
What Have We Achieved on Text Summarization? EMNLP (1) 2020: 446-469 - [c149]Xuefeng Bai, Linfeng Song, Yue Zhang:
Online Back-Parsing for AMR-to-Text Generation. EMNLP (1) 2020: 1206-1219 - [c148]Chenhua Chen, Zhiyang Teng, Yue Zhang:
Inducing Target-Specific Latent Structures for Aspect Sentiment Classification. EMNLP (1) 2020: 5596-5607 - [c147]Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi:
Inference-Masked Loss for Deep Structured Output Learning. IJCAI 2020: 2754-2761 - [c146]Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang:
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning. IJCAI 2020: 3622-3628 - [c145]Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang:
Dialogue State Induction Using Neural Latent Variable Models. IJCAI 2020: 3845-3852 - [c144]Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che:
CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP. IJCAI 2020: 3853-3860 - [i58]Yue Zhang, Arti Ramesh:
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. CoRR abs/2002.09523 (2020) - [i57]Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou:
MuTual: A Dataset for Multi-Turn Dialogue Reasoning. CoRR abs/2004.04494 (2020) - [i56]Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu:
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. CoRR abs/2004.11019 (2020) - [i55]Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng, Weihua Luo:
Multiscale Collaborative Deep Models for Neural Machine Translation. CoRR abs/2004.14021 (2020) - [i54]Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu:
Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization. CoRR abs/2004.14871 (2020) - [i53]Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang:
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. CoRR abs/2005.05864 (2020) - [i52]Qiankun Fu, Yue Zhang, Jiangming Liu, Meishan Zhang:
DRTS Parsing with Structure-Aware Encoding and Decoding. CoRR abs/2005.06901 (2020) - [i51]Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che:
CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP. CoRR abs/2006.06402 (2020) - [i50]Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang:
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences. CoRR abs/2007.02671 (2020) - [i49]Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang:
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning. CoRR abs/2007.08124 (2020) - [i48]Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang:
Dialogue State Induction Using Neural Latent Variable Models. CoRR abs/2008.05666 (2020) - [i47]Xuefeng Bai, Linfeng Song, Yue Zhang:
Online Back-Parsing for AMR-to-Text Generation. CoRR abs/2010.04520 (2020) - [i46]Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang:
What Have We Achieved on Text Summarization? CoRR abs/2010.04529 (2020) - [i45]Yile Wang, Leyang Cui, Yue Zhang:
Does Chinese BERT Encode Word Structure? CoRR abs/2010.07711 (2020) - [i44]Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. CoRR abs/2011.01482 (2020) - [i43]Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang:
Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts. CoRR abs/2011.04864 (2020) - [i42]Yuan Zhang, Zhiyang Teng, Yue Zhang:
End-to-End Chinese Parsing Exploiting Lexicons. CoRR abs/2012.04395 (2020)
2010 – 2019
- 2019
- [j14]Junchi Zhang
, Yue Zhang, Donghong Ji, Mengchi Liu:
Multi-task and multi-view training for end-to-end relation extraction. Neurocomputing 364: 245-253 (2019) - [j13]Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su:
Semantic Neural Machine Translation using AMR. Trans. Assoc. Comput. Linguistics 7: 19-31 (2019) - [j12]Junwen Duan
, Xiao Ding
, Yue Zhang, Ting Liu:
TEND: A Target-Dependent Representation Learning Framework for News Document. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2313-2325 (2019) - [j11]Lei Shi
, Zhiyang Teng
, Le Wang, Yue Zhang
, Alexander Binder
:
DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction. IEEE Trans. Knowl. Data Eng. 31(6): 1094-1108 (2019) - [c143]Shuailong Liang, Olivia Nicol, Yue Zhang:
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. AAAI 2019: 655-662 - [c142]Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu:
A Neural Network Approach to Verb Phrase Ellipsis Resolution. AAAI 2019: 7468-7475 - [c141]Chen Jia, Liang Xiao, Yue Zhang:
Cross-Domain NER using Cross-Domain Language Modeling. ACL (1) 2019: 2464-2474 - [c140]Xiao Liu, Heyan Huang, Yue Zhang:
Open Domain Event Extraction Using Neural Latent Variable Models. ACL (1) 2019: 2860-2871 - [c139]Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao:
Leveraging Local and Global Patterns for Self-Attention Networks. ACL (1) 2019: 3069-3075 - [c138]Yuan Zhang, Yue Zhang:
Tree Communication Models for Sentiment Analysis. ACL (1) 2019: 3518-3527 - [c137]Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao:
Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. ACL (1) 2019: 4020-4026 - [c136]Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. ACL (1) 2019: 4642-4651 - [c135]Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, Min Zhang:
SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. CoNLL Shared Task 2019: 149-157 - [c134]Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su:
Leveraging Dependency Forest for Neural Medical Relation Extraction. EMNLP/IJCNLP (1) 2019: 208-218 - [c133]Yue Zhang, Rui Wang, Luo Si:
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. EMNLP/IJCNLP (1) 2019: 616-626 - [c132]Meishan Zhang, Yue Zhang, Guohong Fu:
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank. EMNLP/IJCNLP (1) 2019: 997-1006 - [c131]Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang:
Contrastive Attention Mechanism for Abstractive Sentence Summarization. EMNLP/IJCNLP (1) 2019: 3042-3051 - [c130]Qingkai Min, Yuefeng Shi, Yue Zhang:
A Pilot Study for Chinese SQL Semantic Parsing. EMNLP/IJCNLP (1) 2019: 3650-3656 - [c129]Leyang Cui, Yue Zhang:
Hierarchically-Refined Label Attention Network for Sequence Labeling. EMNLP/IJCNLP (1) 2019: 4113-4126 - [c128]Lu Cao, Yue Zhang:
Investigating Lexical and Semantic Cognition by Using Neural Network to Encode and Decode Brain Imaging. HBAI@IJCAI 2019: 84-100 - [c127]Junchi Zhang, Yanxia Qin, Yue Zhang, Mengchi Liu, Donghong Ji:
Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model. IJCAI 2019: 5422-5428 - [c126]Yue Zhang, Arti Ramesh:
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields. IJCAI 2019: 6050-6056 - [c125]Kai Song, Yue Zhang, Heng Yu, Weihua Luo, Kun Wang, Min Zhang:
Code-Switching for Enhancing NMT with Pre-Specified Translation. NAACL-HLT (1) 2019: 449-459 - [c124]Jie Yang, Yue Zhang, Shuailong Liang:
Subword Encoding in Lattice LSTM for Chinese Word Segmentation. NAACL-HLT (1) 2019: 2720-2725 - [c123]Yuxiao Ye, Weikang Li, Yue Zhang, Likun Qiu, Jian Sun:
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings. NAACL-HLT (1) 2019: 2726-2735 - [c122]Haiming Wu, Yue Zhang, Xi Jin, Yun Xue, Ziwen Wang:
Shared-Private LSTM for Multi-domain Text Classification. NLPCC (2) 2019: 116-128 - [c121]Cunxiang Wang, Feiliang Ren, Zhichao Lin, Chenxu Zhao, Tian Xie, Yue Zhang:
Domain Representation for Knowledge Graph Embedding. NLPCC (1) 2019: 197-210 - [c120]Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si:
Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing. NLPCC (2) 2019: 760-771 - [c119]Xiuming Qiao, Yue Zhang, Tiejun Zhao:
Learning Domain Invariant Word Representations for Parsing Domain Adaptation. NLPCC (1) 2019: 801-813 - [i41]Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su:
Semantic Neural Machine Translation using AMR. CoRR abs/1902.07282 (2019) - [i40]Yuxiao Ye, Yue Zhang, Weikang Li, Likun Qiu, Jian Sun:
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings. CoRR abs/1903.01698 (2019) - [i39]Cunxiang Wang, Yue Zhang, Feiliang Ren, Chenxu Zhao, Zhichao Lin, Tian Xie:
Domain Representation for Knowledge Graph Embedding. CoRR abs/1903.10716 (2019) - [i38]Kai Song, Yue Zhang, Heng Yu, Weihua Luo, Kun Wang, Min Zhang:
Code-Switching for Enhancing NMT with Pre-Specified Translation. CoRR abs/1904.09107 (2019) - [i37]Shuailong Liang, Olivia Nicol, Yue Zhang:
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. CoRR abs/1904.10637 (2019) - [i36]Guoyin Wang, Yan Song, Yue Zhang, Dong Yu:
Learning Word Embeddings with Domain Awareness. CoRR abs/1906.03249 (2019) - [i35]Xiao Liu, Heyan Huang, Yue Zhang:
Open Domain Event Extraction Using Neural Latent Variable Models. CoRR abs/1906.06947 (2019) - [i34]Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. CoRR abs/1907.00218 (2019) - [i33]Zhiguo Wang, Yue Zhang, Mo Yu, Wei Zhang, Lin Pan, Linfeng Song, Kun Xu, Yousef El-Kurdi:
Multi-Granular Text Encoding for Self-Explaining Categorization. CoRR abs/1907.08532 (2019) - [i32]Leilei Gan, Yue Zhang:
Investigating Self-Attention Network for Chinese Word Segmentation. CoRR abs/1907.11512 (2019) - [i31]Leyang Cui, Yue Zhang:
Hierarchically-Refined Label Attention Network for Sequence Labeling. CoRR abs/1908.08676 (2019) - [i30]Meishan Zhang, Yue Zhang, Guohong Fu:
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank. CoRR abs/1909.02235 (2019) - [i29]Qingkai Min, Yuefeng Shi, Yue Zhang:
A Pilot Study for Chinese SQL Semantic Parsing. CoRR abs/1909.13293 (2019) - [i28]Yue Zhang, Rui Wang, Luo Si:
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. CoRR abs/1910.11204 (2019) - [i27]Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang:
Contrastive Attention Mechanism for Abstractive Sentence Summarization. CoRR abs/1910.13114 (2019) - [i26]Sen Yang, Leyang Cui, Yue Zhang:
Exploring Hierarchical Interaction Between Review and Summary for Better Sentiment Analysis. CoRR abs/1911.02711 (2019) - [i25]Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Deep Input Linearization. CoRR abs/1911.02808 (2019) - [i24]Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su:
Leveraging Dependency Forest for Neural Medical Relation Extraction. CoRR abs/1911.04123 (2019) - [i23]Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang:
Evaluating Commonsense in Pre-trained Language Models. CoRR abs/1911.11931 (2019) - 2018
- [j10]Yanxia Qin, Yue Zhang, Min Zhang, Dequan Zheng:
Frame-Based Representation for Event Detection on Twitter. IEICE Trans. Inf. Syst. 101-D(4): 1180-1188 (2018) - [j9]Meishan Zhang, Yue Zhang, Guohong Fu:
Transition-Based Neural Word Segmentation Using Word-Level Features. J. Artif. Intell. Res. 63: 923-953 (2018) - [c118]Kai Song, Yue Zhang, Min Zhang, Weihua Luo:
Improved English to Russian Translation by Neural Suffix Prediction. AAAI 2018: 410-417 - [c117]Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann:
Multi-Modal Multi-Task Learning for Automatic Dietary Assessment. AAAI 2018: 2347-2354 - [c116]Jie Yang, Yue Zhang, Linwei Li, Xingxuan Li:
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. ACL (4) 2018: 31-36 - [c115]Jie Yang, Yue Zhang:
NCRF++: An Open-source Neural Sequence Labeling Toolkit. ACL (4) 2018: 74-79 - [c114]Yue Zhang, Qi Liu, Linfeng Song:
Sentence-State LSTM for Text Representation. ACL (1) 2018: 317-327 - [c113]Enrico Santus, Hongmin Wang, Emmanuele Chersoni, Yue Zhang:
A Rank-Based Similarity Metric for Word Embeddings. ACL (2) 2018: 552-557 - [c112]Yue Zhang, Jie Yang:
Chinese NER Using Lattice LSTM. ACL (1) 2018: 1554-1564 - [c111]Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
A Graph-to-Sequence Model for AMR-to-Text Generation. ACL (1) 2018: 1616-1626 - [c110]Yue Zhang, Liying Zhang, Yao Liu:
Linked Document Classification by Network Representation Learning. CCL 2018: 302-313 - [c109]Zhiyang Teng, Yue Zhang:
Two Local Models for Neural Constituent Parsing. COLING 2018: 119-132 - [c108]Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu:
Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction. COLING 2018: 2823-2833 - [c107]Jie Yang, Shuailong Liang, Yue Zhang:
Design Challenges and Misconceptions in Neural Sequence Labeling. COLING 2018: 3879-3889 - [c106]Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
N-ary Relation Extraction using Graph-State LSTM. EMNLP 2018: 2226-2235 - [c105]Chenhua Chen, Yue Zhang, Yuze Gao:
Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning. IALP 2018: 25-30 - [c104]Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu:
Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification. IJCAI 2018: 4293-4300 - [c103]Shaolei Wang, Yue Zhang, Wanxiang Che, Ting Liu:
Joint Extraction of Entities and Relations Based on a Novel Graph Scheme. IJCAI 2018: 4461-4467 - [c102]Linfeng Song, Yue Zhang, Daniel Gildea:
Neural Transition-based Syntactic Linearization. INLG 2018: 431-440 - [c101]Yu Yuan, Yuze Gao, Yue Zhang, Serge Sharoff:
Cross-lingual Terminology Extraction for Translation Quality Estimation. LREC 2018 - [c100]Qi Liu, Yue Zhang, Jiangming Liu:
Learning Domain Representation for Multi-Domain Sentiment Classification. NAACL-HLT 2018: 541-550 - [c99]Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, Daniel Gildea:
Leveraging Context Information for Natural Question Generation. NAACL-HLT (2) 2018: 569-574 - [c98]Qi Liu, Yue Zhang:
Mining Evidences for Concept Stock Recommendation. NAACL-HLT 2018: 2103-2112 - [c97]