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ORCIDYue 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
![[0000-0002-8467-2781]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8467-2781")
— 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 (aka: Yue Zhang Weninger) — Massachusetts Institute of Technology, Cambridge, USA (and 2 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 — Northwestern Polytechnical University, Unmanned System Research Institute, Xian, China (and 1 more)
- 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 — Drexel University, Philadelphia, PA, USA (and 2 more)
- 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
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2020 – today
- 2024
[j54]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. 47(1): 48-62 (2024)- [j53]Yile Wang, Yue Zhang, Peng Li, Yang Liu:
Gradual Syntactic Label Replacement for Language Model Pre-Training. IEEE ACM Trans. Audio Speech Lang. Process. 32: 486-496 (2024) - [j52]Yile Wang, Yue Zhang:
Lost in Context? On the Sense-Wise Variance of Contextualized Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 32: 639-650 (2024) - [j51]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024) - [c293]Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang:
LLMEval: A Preliminary Study on How to Evaluate Large Language Models. AAAI 2024: 19615-19622 - [c292]Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang:
MAGE: Machine-generated Text Detection in the Wild. ACL (1) 2024: 36-53 - [c291]Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, Rada Mihalcea:
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs. ACL (Findings) 2024: 407-426 - [c290]Yingjie Li, Yue Zhang:
Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection. ACL (Findings) 2024: 3229-3236 - [c289]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang:
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. ACL (1) 2024: 5967-5985 - [c288]Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang:
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. ACL (Findings) 2024: 7088-7107 - [c287]Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang:
What Have We Achieved on Non-autoregressive Translation? ACL (Findings) 2024: 7585-7606 - [c286]Runzhe Zhan, Xinyi Yang, Derek F. Wong, Lidia S. Chao, Yue Zhang:
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model. ACL (Findings) 2024: 12131-12145 - [c285]Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang:
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. LREC/COLING 2024: 4423-4437 - [c284]Dandan Huang, Lu Cao, Zhenting Li, Yue Zhang:
Which Sense Dominates Multisensory Semantic Understanding? A Brain Decoding Study. LREC/COLING 2024: 17557-17563 - [c283]Yue Zhang, Quan Guo, Parisa Kordjamshidi:
NavHint: Vision and Language Navigation Agent with a Hint Generator. EACL (Findings) 2024: 92-103 - [c282]Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang:
ECON: On the Detection and Resolution of Evidence Conflicts. EMNLP 2024: 7816-7844 - [c281]Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu:
Knowledge Conflicts for LLMs: A Survey. EMNLP 2024: 8541-8565 - [c280]Pai Liu, Wenyang Gao, Wenjie Dong, Lin Ai, Ziwei Gong, Songfang Huang, Zongsheng Li, Ehsan Hoque, Julia Hirschberg, Yue Zhang:
A Survey on Open Information Extraction from Rule-based Model to Large Language Model. EMNLP (Findings) 2024: 9586-9608 - [c279]Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui:
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding. EMNLP 2024: 9658-9678 - [c278]Yue Zhang, Zhihao Zhang, Wenbin Lai, Chong Zhang, Tao Gui, Qi Zhang, Xuanjing Huang:
PDF-to-Tree: Parsing PDF Text Blocks into a Tree. EMNLP (Findings) 2024: 10704-10714 - [c277]Yongjing Yin, Wenyang Gao, Haodong Wu, Jianhao Yan, Yue Zhang:
Empirical Prior for Text Autoencoders. EMNLP (Findings) 2024: 13628-13640 - [c276]Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang:
LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation. EMNLP (Findings) 2024: 14767-14779 - [c275]Yongjing Yin, Junran Ding, Kai Song, Yue Zhang:
Semformer: Transformer Language Models with Semantic Planning. EMNLP 2024: 18669-18680 - [c274]Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang:
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. ICLR 2024 - [c273]Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR 2024 - [c272]Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang:
Understanding In-Context Learning from Repetitions. ICLR 2024 - [c271]Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang:
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR 2024 - [c270]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie:
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. LAMPS@CCS 2024: 57-68 - [c269]Yue Zhang, Parisa Kordjamshidi:
Narrowing the Gap between Vision and Action in Navigation. ACM Multimedia 2024: 856-865 - [c268]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang:
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners. NAACL-HLT 2024: 6676-6698 - [i208]Zijie Yang, Yongjing Yin, Chaojun Kong, Tiange Chi, Wufan Tao, Yue Zhang, Tian Xu:
AI-driven platform for systematic nomenclature and intelligent knowledge acquisition of natural medicinal materials. CoRR abs/2401.00020 (2024) - [i207]Yue Zhang, Quan Guo, Parisa Kordjamshidi:
NavHint: Vision and Language Navigation Agent with a Hint Generator. CoRR abs/2402.02559 (2024) - [i206]Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, Rada Mihalcea:
Tables as Images? Exploring the Strengths and Limitations of LLMs on Multimodal Representations of Tabular Data. CoRR abs/2402.12424 (2024) - [i205]Jianhao Yan, Futing Wang, Yafu Li, Yue Zhang:
Potential and Challenges of Model Editing for Social Debiasing. CoRR abs/2402.13462 (2024) - [i204]Jianhao Yan, Yun Luo, Yue Zhang:
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models. CoRR abs/2402.13463 (2024) - [i203]Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao, Rada Mihalcea, Yue Zhang:
SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning. CoRR abs/2402.14851 (2024) - [i202]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang:
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. CoRR abs/2402.15043 (2024) - [i201]Mieradilijiang Maimaiti, Yuanhang Zheng, Ji Zhang, Fei Huang, Yue Zhang, Wenpei Luo, Kaiyu Huang:
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching. CoRR abs/2403.01364 (2024) - [i200]Rongwu Xu, Zehan Qi, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu:
Knowledge Conflicts for LLMs: A Survey. CoRR abs/2403.08319 (2024) - [i199]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang:
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. CoRR abs/2404.06003 (2024) - [i198]Runzhe Zhan, Xinyi Yang, Derek F. Wong, Lidia S. Chao, Yue Zhang:
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model. CoRR abs/2404.16766 (2024) - [i197]Hanmeng Liu, Zhiyang Teng, Chaoli Zhang, Yue Zhang:
Logic Agent: Enhancing Validity with Logic Rule Invocation. CoRR abs/2404.18130 (2024) - [i196]Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang:
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. CoRR abs/2405.12689 (2024) - [i195]Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang:
What Have We Achieved on Non-autoregressive Translation? CoRR abs/2405.12788 (2024) - [i194]Yue Zhang, Hehe Fan, Yi Yang:
Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models. CoRR abs/2405.15684 (2024) - [i193]Mengru Ding, Hanmeng Liu, Zhizhang Fu, Jian Song, Wenbo Xie, Yue Zhang:
Break the Chain: Large Language Models Can be Shortcut Reasoners. CoRR abs/2406.06580 (2024) - [i192]Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang:
AutoSurvey: Large Language Models Can Automatically Write Surveys. CoRR abs/2406.10252 (2024) - [i191]Jianhao Yan, Pingchuan Yan, Yulong Chen, Judy Li, Xianchao Zhu, Yue Zhang:
GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels. CoRR abs/2407.03658 (2024) - [i190]Yue Zhang, Ziqiao Ma, Jialu Li, Yanyuan Qiao, Zun Wang, Joyce Chai, Qi Wu, Mohit Bansal, Parisa Kordjamshidi:
Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models. CoRR abs/2407.07035 (2024) - [i189]Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang:
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. CoRR abs/2408.08067 (2024) - [i188]Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, Ziyi Yang, Chenguang Zhu, Yue Zhang:
See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses. CoRR abs/2408.08978 (2024) - [i187]Yue Zhang, Parisa Kordjamshidi:
Narrowing the Gap between Vision and Action in Navigation. CoRR abs/2408.10388 (2024) - [i186]Xuanwang Zhang, Yunze Song, Yidong Wang, Shuyun Tang, Xinfeng Li, Zhengran Zeng, Zhen Wu, Wei Ye, Wenyuan Xu, Yue Zhang, Xinyu Dai, Shikun Zhang, Qingsong Wen:
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. CoRR abs/2408.11381 (2024) - [i185]Yu Zhang, Songlin Yang, Ruijie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu:
Gated Slot Attention for Efficient Linear-Time Sequence Modeling. CoRR abs/2409.07146 (2024) - [i184]Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui:
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding. CoRR abs/2409.19672 (2024) - [i183]Yue Zhang, Zhiyang Xu, Ying Shen, Parisa Kordjamshidi, Lifu Huang:
SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models. CoRR abs/2410.03878 (2024) - [i182]Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang:
ECon: On the Detection and Resolution of Evidence Conflicts. CoRR abs/2410.04068 (2024) - 2023
- [j50]Qiji Zhou, Yue Zhang, Donghong Ji:
Distantly supervised relation extraction with KB-enhanced reconstructed latent iterative graph networks. Knowl. Based Syst. 260: 110108 (2023) - [j49]Linfeng Song, Ante Wang, Xiaoman Pan, Hongming Zhang, Dian Yu, Lifeng Jin, Haitao Mi, Jinsong Su, Yue Zhang, Dong Yu:
OpenFact: Factuality Enhanced Open Knowledge Extraction. Trans. Assoc. Comput. Linguistics 11: 686-702 (2023) - [j48]Donglin Di, Xianyang Song, Weinan Zhang, Yue Zhang, Fanglin Wang:
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(4): 105:1-105:20 (2023) - [j47]Libo Qin, Xiao Xu, Lehan Wang, Yue Zhang, Wanxiang Che:
Modularized Pre-Training for End-to-End Task-Oriented Dialogue. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1601-1610 (2023) - [j46]Guangsheng Bao, Yue Zhang:
A General Contextualized Rewriting Framework for Text Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1624-1635 (2023) - [j45]Hanmeng Liu, Jian Liu, Leyang Cui, Zhiyang Teng, Nan Duan, Ming Zhou, Yue Zhang:
LogiQA 2.0 - An Improved Dataset for Logical Reasoning in Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2947-2962 (2023) - [j44]Hao Fei, Yafeng Ren, Yue Zhang, Donghong Ji:
Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5544-5556 (2023) - [c267]Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi:
GLUECons: A Generic Benchmark for Learning under Constraints. AAAI 2023: 9552-9561 - [c266]Hongliang He, Junlei Zhang, Zhenzhong Lan, Yue Zhang:
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding. AAAI 2023: 12863-12871 - [c265]Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Consistency Regularization Training for Compositional Generalization. ACL (1) 2023: 1294-1308 - [c264]Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang:
Learning to Generalize for Cross-domain QA. ACL (Findings) 2023: 1298-1313 - [c263]Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster:
Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. ACL (Findings) 2023: 1419-1429 - [c262]Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang:
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. ACL (Findings) 2023: 2083-2096 - [c261]Cunxiang Wang, Haofei Yu, Yue Zhang:
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. ACL (Findings) 2023: 2473-2481 - [c260]Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang, Zheng Zhang:
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations. ACL (1) 2023: 5334-5351 - [c259]Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu, Yue Zhang:
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. ACL (1) 2023: 9332-9351 - [c258]Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang:
NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts. ACL (Findings) 2023: 9935-9951 - [c257]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Target-Side Augmentation for Document-Level Machine Translation. ACL (1) 2023: 10725-10742 - [c256]Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang:
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. ACL (Findings) 2023: 12731-12750 - [c255]Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang:
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. ACL (1) 2023: 12833-12855 - [c254]Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. ACL (1) 2023: 12876-12889 - [c253]Yue Zhang, Parisa Kordjamshidi:
VLN-Trans: Translator for the Vision and Language Navigation Agent. ACL (1) 2023: 13219-13233 - [c252]Linyi Yang, Yingpeng Ma, Yue Zhang:
Measuring Consistency in Text-based Financial Forecasting Models. ACL (1) 2023: 13751-13765 - [c251]Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang:
Explicit Syntactic Guidance for Neural Text Generation. ACL (1) 2023: 14095-14112 - [c250]Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Dual Cache for Long Document Neural Coreference Resolution. ACL (1) 2023: 15272-15285 - [c249]Guangsheng Bao, Zebin Ou, Yue Zhang:
GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization. EMNLP 2023: 831-842 - [c248]Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu:
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus. EMNLP 2023: 915-932 - [c247]Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts. EMNLP 2023: 2807-2822 - [c246]Hanmeng Liu, Zhiyang Teng, Leyang Cui, Chaoli Zhang, Qiji Zhou, Yue Zhang:
LogiCoT: Logical Chain-of-Thought Instruction Tuning. EMNLP (Findings) 2023: 2908-2921 - [c245]Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang:
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. EMNLP 2023: 4533-4559 - [c244]Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi:
TRAMS: Training-free Memory Selection for Long-range Language Modeling. EMNLP (Findings) 2023: 4966-4972 - [c243]Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li:
End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions. EMNLP 2023: 5925-5941 - [c242]Yu Zhang, Yue Zhang, Leyang Cui, Guohong Fu:
Non-autoregressive Text Editing with Copy-aware Latent Alignments. EMNLP 2023: 7075-7085 - [c241]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang:
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. EMNLP (Findings) 2023: 7563-7571 - [c240]Jianling Li, Meishan Zhang, Peiming Guo, Min Zhang, Yue Zhang:
LLM-enhanced Self-training for Cross-domain Constituency Parsing. EMNLP 2023: 8174-8185 - [c239]Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang:
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. EMNLP 2023: 11518-11537 - [c238]Guangsheng Bao, Zhiyang Teng, Hao Zhou, Jianhao Yan, Yue Zhang:
Non-Autoregressive Document-Level Machine Translation. EMNLP (Findings) 2023: 14791-14803 - [c237]Yue Zhang, Leyang Cui, Enbo Zhao, Wei Bi, Shuming Shi:
RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation. EMNLP 2023: 16780-16793 - [c236]Junlin Hou, Fan Xiao, Jilan Xu, Rui Feng, Yue Zhang, Haidong Zou, Lina Lu, Wenwen Xue:
Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors. ICASSP 2023: 1-5 - [c235]Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang:
Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base. NLPCC (2) 2023: 444-456 - [c234]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Token-level Fitting Issues of Seq2seq Models. RepL4NLP@ACL 2023: 276-288 - [c233]Fang Guo, Yun Luo, Linyi Yang, Yue Zhang:
SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. SIGIR 2023: 205-215 - [c232]Zhiang Yue, Jingping Liu, Cong Zhang, Chao Wang, Haiyun Jiang, Yue Zhang, Xianyang Tian, Zhedong Cen, Yanghua Xiao, Tong Ruan:
MA-MRC: A Multi-answer Machine Reading Comprehension Dataset. SIGIR 2023: 2144-2148 - [c231]Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang:
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. WWW 2023: 1584-1593 - [i181]Yaoxian Song, Penglei Sun, Yi Ren, Yu Zheng, Yue Zhang:
Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding. CoRR abs/2301.11564 (2023) - [i180]Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang:
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. CoRR abs/2302.03950 (2023) - [i179]Yue Zhang, Parisa Kordjamshidi:
VLN-Trans: Translator for the Vision and Language Navigation Agent. CoRR abs/2302.09230 (2023) - [i178]Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi:
GLUECons: A Generic Benchmark for Learning Under Constraints. CoRR abs/2302.10914 (2023) - [i177]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR abs/2302.12095 (2023) - [i176]Tao Fang, Shu Yang, Kaixin Lan, Derek F. Wong, Jinpeng Hu, Lidia S. Chao, Yue Zhang:
Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation. CoRR abs/2304.01746 (2023) - [i175]Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, Jian Liu, Qiji Zhou, Yue Zhang:
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4. CoRR abs/2304.03439 (2023) - [i174]Guangsheng Bao, Zebin Ou, Yue Zhang:
GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text Summarization. CoRR abs/2304.03548 (2023) - [i173]Zebin Ou, Yue Zhang:
A Curriculum View of Robust Loss Functions. CoRR abs/2305.02139 (2023) - [i172]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Token-level Fitting Issues of Seq2seq Models. CoRR abs/2305.04493 (2023) - [i171]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Target-Side Augmentation for Document-Level Machine Translation. CoRR abs/2305.04505 (2023) - [i170]Yun Luo, Zhen Yang, Xuefeng Bai, Fandong Meng, Jie Zhou, Yue Zhang:
Investigating Forgetting in Pre-Trained Representations Through Continual Learning. CoRR abs/2305.05968 (2023) - [i169]Hongliang He, Junlei Zhang, Zhenzhong Lan, Yue Zhang:
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding. CoRR abs/2305.07424 (2023) - [i168]Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang:
Learning to Generalize for Cross-domain QA. CoRR abs/2305.08208 (2023) - [i167]Linyi Yang, Yingpeng Ma, Yue Zhang:
Measuring Consistency in Text-based Financial Forecasting Models. CoRR abs/2305.08524 (2023) - [i166]Hanmeng Liu, Zhiyang Teng, Leyang Cui, Chaoli Zhang, Qiji Zhou, Yue Zhang:
LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4. CoRR abs/2305.12147 (2023) - [i165]Yun Luo, Xiaotian Lin, Zhen Yang, Fandong Meng, Jie Zhou, Yue Zhang:
Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion. CoRR abs/2305.12270 (2023) - [i164]Cunxiang Wang, Sirui Cheng, Zhikun Xu, Bowen Ding, Yidong Wang, Yue Zhang:
Evaluating Open Question Answering Evaluation. CoRR abs/2305.12421 (2023) - [i163]Guangsheng Bao, Zhiyang Teng, Yue Zhang:
Non-Autoregressive Document-Level Machine Translation (NA-DMT): Exploring Effective Approaches, Challenges, and Opportunities. CoRR abs/2305.12878 (2023) - [i162]Yue Zhang, Leyang Cui, Deng Cai, Xinting Huang, Tao Fang, Wei Bi:
Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance. CoRR abs/2305.13225 (2023) - [i161]Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang:
Deepfake Text Detection in the Wild. CoRR abs/2305.13242 (2023) - [i160]Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang:
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future. CoRR abs/2305.14104 (2023) - [i159]Naihao Deng, Yikai Liu, Mingye Chen, Winston Wu, Siyang Liu, Yulong Chen, Yue Zhang, Rada Mihalcea:
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms. CoRR abs/2305.14169 (2023) - [i158]Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang:
NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts. CoRR abs/2305.16023 (2023) - [i157]Cunxiang Wang, Haofei Yu, Yue Zhang:
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. CoRR abs/2305.17041 (2023) - [i156]Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang:
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. CoRR abs/2305.17050 (2023) - [i155]Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. CoRR abs/2305.19162 (2023) - [i154]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie:
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR abs/2306.04528 (2023) - [i153]Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR abs/2306.05087 (2023) - [i152]Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang, Zheng Zhang:
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations. CoRR abs/2306.10658 (2023) - [i151]Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang:
Explicit Syntactic Guidance for Neural Text Generation. CoRR abs/2306.11485 (2023) - [i150]Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. CoRR abs/2307.00370 (2023) - [i149]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i148]Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang:
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. CoRR abs/2307.04018 (2023) - [i147]Yue Zhang, Hehe Fan, Yi Yang, Mohan S. Kankanhalli:
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation. CoRR abs/2307.16803 (2023) - [i146]Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, Yue Zhang:
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. CoRR abs/2308.08747 (2023) - [i145]Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, Shuming Shi:
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. CoRR abs/2309.01219 (2023) - [i144]Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang:
Understanding In-Context Learning from Repetitions. CoRR abs/2310.00297 (2023) - [i143]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang:
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. CoRR abs/2310.05073 (2023) - [i142]Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang:
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. CoRR abs/2310.05130 (2023) - [i141]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang:
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners. CoRR abs/2310.05502 (2023) - [i140]Yue Zhang, Leyang Cui, Enbo Zhao, Wei Bi, Shuming Shi:
RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation. CoRR abs/2310.07299 (2023) - [i139]Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang:
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR abs/2310.07521 (2023) - [i138]Yu Zhang, Yue Zhang, Leyang Cui, Guohong Fu:
Non-autoregressive Text Editing with Copy-aware Latent Alignments. CoRR abs/2310.07821 (2023) - [i137]Hanmeng Liu, Zhiyang Teng, Ruoxi Ning, Jian Liu, Qiji Zhou, Yue Zhang:
GLoRE: Evaluating Logical Reasoning of Large Language Models. CoRR abs/2310.09107 (2023) - [i136]Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang:
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. CoRR abs/2310.12874 (2023) - [i135]Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts. CoRR abs/2310.14628 (2023) - [i134]Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi:
TRAMS: Training-free Memory Selection for Long-range Language Modeling. CoRR abs/2310.15494 (2023) - [i133]Chiyu Song, Zhanchao Zhou, Jianhao Yan, Yuejiao Fei, Zhenzhong Lan, Yue Zhang:
Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace. CoRR abs/2310.19651 (2023) - [i132]Jianling Li, Meishan Zhang, Peiming Guo, Min Zhang, Yue Zhang:
LLM-enhanced Self-training for Cross-domain Constituency Parsing. CoRR abs/2311.02660 (2023) - [i131]Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li:
End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions. CoRR abs/2311.09008 (2023) - [i130]Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu:
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus. CoRR abs/2311.13230 (2023) - [i129]Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang:
LLMEval: A Preliminary Study on How to Evaluate Large Language Models. CoRR abs/2312.07398 (2023) - [i128]Yue Zhang, Leyang Cui, Wei Bi, Shuming Shi:
Alleviating Hallucinations of Large Language Models through Induced Hallucinations. CoRR abs/2312.15710 (2023) - [i127]Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang:
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR abs/2312.15918 (2023) - 2022
- [j43]Heyan Huang, Xiao Liu, Yue Zhang, Chong Feng:
News-driven stock prediction via noisy equity state representation. Neurocomputing 470: 66-75 (2022) - [j42]Xiao Liu, Heyan Huang, Yue Zhang:
End-to-end event factuality prediction using directional labeled graph recurrent network. Inf. Process. Manag. 59(2): 102836 (2022) - [j41]Libo Qin, Fuxuan Wei, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu:
Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 77:1-77:17 (2022) - [j40]Yanxia Qin, Zhongqing Wang, Yue Zhang, Kehai Chen, Min Zhang:
Advancing Chinese Event Detection via Revisiting Character Information. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 78:1-78:9 (2022) - [j39]Leyang Cui, Yafu Li, Yue Zhang:
Label Attention Network for Structured Prediction. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1235-1248 (2022) - [j38]Fangfang Su, Yue Zhang, Fei Li, Donghong Ji:
Balancing Precision and Recall for Neural Biomedical Event Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1637-1649 (2022) - [j37]Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang:
SemGloVe: Semantic Co-Occurrences for GloVe From BERT. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2696-2704 (2022) - [j36]Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea:
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 34(2): 631-639 (2022) - [j35]Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji:
Optimizing Attention for Sequence Modeling via Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3612-3621 (2022) - [c230]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI 2022: 11604-11612 - [c229]Sen Yang, Leyang Cui, Ruoxi Ning, Di Wu, Yue Zhang:
Challenges to Open-Domain Constituency Parsing. ACL (Findings) 2022: 112-127 - [c228]Yue Zhang, Parisa Kordjamshidi:
Explicit Object Relation Alignment for Vision and Language Navigation. ACL (student) 2022: 322-331 - [c227]Chenhua Chen, Zhiyang Teng, Zhongqing Wang, Yue Zhang:
Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis. ACL (1) 2022: 2051-2064 - [c226]Leyang Cui, Sen Yang, Yue Zhang:
Investigating Non-local Features for Neural Constituency Parsing. ACL (1) 2022: 2065-2075 - [c225]Yafu Li, Yongjing Yin, Jing Li, Yue Zhang:
Prompt-Driven Neural Machine Translation. ACL (Findings) 2022: 2579-2590 - [c224]Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) 2022: 2628-2638 - [c223]Xuefeng Bai, Yulong Chen, Yue Zhang:
Graph Pre-training for AMR Parsing and Generation. ACL (1) 2022: 6001-6015 - [c222]Jinghui Lu, Linyi Yang, Brian MacNamee, Yue Zhang:
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. ACL (1) 2022: 6986-6996 - [c221]Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li:
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. ACL (1) 2022: 8154-8163 - [c220]Xuefeng Bai, Linfeng Song, Yue Zhang:
Semantic-based Pre-training for Dialogue Understanding. COLING 2022: 592-607 - [c219]Naihao Deng, Yulong Chen, Yue Zhang:
Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect. COLING 2022: 2166-2187 - [c218]Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang:
Human-in-the-loop Robotic Grasping Using BERT Scene Representation. COLING 2022: 2992-3006 - [c217]Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Categorizing Semantic Representations for Neural Machine Translation. COLING 2022: 5227-5239 - [c216]Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang:
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. COLING 2022: 5360-5371 - [c215]Yue Zhang, Parisa Kordjamshidi:
LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation. COLING 2022: 5745-5754 - [c214]Zebin Ou, Meishan Zhang, Yue Zhang:
On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART. COLING 2022: 6516-6529 - [c213]Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang:
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. COLING 2022: 7075-7085 - [c212]Yun Luo, Fang Guo, Zihan Liu, Yue Zhang:
Mere Contrastive Learning for Cross-Domain Sentiment Analysis. COLING 2022: 7099-7111 - [c211]Yun Luo, Zihan Liu, Yuefeng Shi, Stan Z. Li, Yue Zhang:
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. COLING 2022: 7112-7123 - [c210]Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, Min Zhang:
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser. EMNLP 2022: 2518-2531 - [c209]Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang:
Multi-Granularity Optimization for Non-Autoregressive Translation. EMNLP 2022: 5073-5084 - [c208]Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
AdaPrompt: Adaptive Model Training for Prompt-based NLP. EMNLP (Findings) 2022: 6057-6068 - [c207]Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees. EMNLP 2022: 7177-7189 - [c206]Xuefeng Bai, Sen Yang, Leyang Cui, Linfeng Song, Yue Zhang:
Cross-domain Generalization for AMR Parsing. EMNLP 2022: 10907-10921 - [c205]Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang:
MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction. NAACL-HLT 2022: 3118-3130 - [c204]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 2022 - [c203]Chuang Fan, Daoxing Liu, Libo Qin, Yue Zhang, Ruifeng Xu:
Towards Event-level Causal Relation Identification. SIGIR 2022: 1828-1833 - [c202]Zhiyang Teng, Chenhua Chen, Yan Zhang, Yue Zhang:
Contrastive latent variable models for neural text generation. UAI 2022: 1928-1938 - [i126]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR abs/2201.01770 (2022) - [i125]Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
AdaPrompt: Adaptive Model Training for Prompt-based NLP. CoRR abs/2202.04824 (2022) - [i124]Sen Yang, Yunchen Zhang, Leyang Cui, Yue Zhang:
Do Prompts Solve NLP Tasks Using Natural Language? CoRR abs/2203.00902 (2022) - [i123]Leyang Cui, Fandong Meng, Yijin Liu, Jie Zhou, Yue Zhang:
Towards Robust Online Dialogue Response Generation. CoRR abs/2203.03168 (2022) - [i122]Xuefeng Bai, Yulong Chen, Yue Zhang:
Graph Pre-training for AMR Parsing and Generation. CoRR abs/2203.07836 (2022) - [i121]Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang:
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. CoRR abs/2203.12918 (2022) - [i120]Yun Luo, Hongjie Cai, Linyi Yang, Yanxia Qin, Rui Xia, Yue Zhang:
Challenges for Open-domain Targeted Sentiment Analysis. CoRR abs/2204.06893 (2022) - [i119]Zebin Ou, Meishan Zhang, Yue Zhang:
On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART. CoRR abs/2204.07367 (2022) - [i118]Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang:
Towards Fine-grained Causal Reasoning and QA. CoRR abs/2204.07408 (2022) - [i117]Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang:
On Effectively Learning of Knowledge in Continual Pre-training. CoRR abs/2204.07994 (2022) - [i116]Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang:
MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction. CoRR abs/2204.10994 (2022) - [i115]Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang:
The Cross-lingual Conversation Summarization Challenge. CoRR abs/2205.00379 (2022) - [i114]Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. CoRR abs/2205.10822 (2022) - [i113]Yue Zhang, Haochen Jiang, Zuyi Bao, Bo Zhang, Chen Li, Zhenghua Li:
Mining Error Templates for Grammatical Error Correction. CoRR abs/2206.11569 (2022) - [i112]Guangsheng Bao, Yue Zhang:
A General Contextualized Rewriting Framework for Text Summarization. CoRR abs/2207.05948 (2022) - [i111]Yulong Chen, Naihao Deng, Yang Liu, Yue Zhang:
DialogSum Challenge: Results of the Dialogue Summarization Shared Task. CoRR abs/2208.03898 (2022) - [i110]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i109]Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang:
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. CoRR abs/2208.08280 (2022) - [i108]Yun Luo, Fang Guo, Zihan Liu, Yue Zhang:
Mere Contrastive Learning for Cross-Domain Sentiment Analysis. CoRR abs/2208.08678 (2022) - [i107]Pai Liu, Wenyang Gao, Wenjie Dong, Songfang Huang, Yue Zhang:
Open Information Extraction from 2007 to 2022 - A Survey. CoRR abs/2208.08690 (2022) - [i106]Yun Luo, Zihan Liu, Yuefeng Shi, Yue Zhang:
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. CoRR abs/2208.08797 (2022) - [i105]Yile Wang, Yue Zhang:
Lost in Context? On the Sense-wise Variance of Contextualized Word Embeddings. CoRR abs/2208.09669 (2022) - [i104]Naihao Deng, Yulong Chen, Yue Zhang:
Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect. CoRR abs/2208.10099 (2022) - [i103]Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang:
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. CoRR abs/2208.11464 (2022) - [i102]Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang:
Pre-Training a Graph Recurrent Network for Language Representation. CoRR abs/2209.03834 (2022) - [i101]Xuefeng Bai, Linfeng Song, Yue Zhang:
Semantic-based Pre-training for Dialogue Understanding. CoRR abs/2209.09146 (2022) - [i100]Yue Zhang, Parisa Kordjamshidi:
LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation. CoRR abs/2209.12723 (2022) - [i99]Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang:
Human-in-the-loop Robotic Grasping using BERT Scene Representation. CoRR abs/2209.14026 (2022) - [i98]Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Categorizing Semantic Representations for Neural Machine Translation. CoRR abs/2210.06709 (2022) - [i97]Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang:
Multi-Granularity Optimization for Non-Autoregressive Translation. CoRR abs/2210.11017 (2022) - [i96]Xuefeng Bai, Seng Yang, Leyang Cui, Linfeng Song, Yue Zhang:
Cross-domain Generalization for AMR Parsing. CoRR abs/2210.12445 (2022) - [i95]Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, Min Zhang:
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser. CoRR abs/2210.12484 (2022) - [i94]Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li:
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. CoRR abs/2210.16848 (2022) - [i93]Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees. CoRR abs/2210.17095 (2022) - [i92]Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang:
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective. CoRR abs/2211.08073 (2022) - [i91]Yue Zhang, Zhenghua Li:
CSynGEC: Incorporating Constituent-based Syntax for Grammatical Error Correction with a Tailored GEC-Oriented Parser. CoRR abs/2211.08158 (2022) - [i90]Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang:
UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. CoRR abs/2211.09783 (2022) - [i89]Ziqi Zhang, Yile Wang, Yue Zhang, Donglin Wang:
Can Offline Reinforcement Learning Help Natural Language Understanding? CoRR abs/2212.03864 (2022) - [i88]Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang:
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. CoRR abs/2212.04205 (2022) - [i87]Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster:
Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. CoRR abs/2212.08888 (2022) - 2021
- [j34]Hao Fei, Yafeng Ren, Yue Zhang, Donghong Ji, Xiaohui Liang:
Enriching contextualized language model from knowledge graph for biomedical information extraction. Briefings Bioinform. 22(3) (2021) - [j33]Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji:
A span-graph neural model for overlapping entity relation extraction in biomedical texts. Bioinform. 37(11): 1581-1589 (2021) - [j32]Xuefeng Bai, Pengbo Liu, Yue Zhang:
Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network. IEEE ACM Trans. Audio Speech Lang. Process. 29: 503-514 (2021) - [j31]Yile Wang, Leyang Cui, Yue Zhang:
Improving Skip-Gram Embeddings Using BERT. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1318-1328 (2021) - [j30]Chuang Fan, Chaofa Yuan, Lin Gui, Yue Zhang, Ruifeng Xu:
Multi-Task Sequence Tagging for Emotion-Cause Pair Extraction Via Tag Distribution Refinement. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2339-2350 (2021) - [c201]Guangsheng Bao, Yue Zhang:
Contextualized Rewriting for Text Summarization. AAAI 2021: 12544-12553 - [c200]Lu Cao, Dandan Huang, Yue Zhang, Xiaowei Jiang, Yanan Chen:
Brain Decoding Using fNIRS. AAAI 2021: 12602-12611 - [c199]Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang:
Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts. AAAI 2021: 13388-13396 - [c198]Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. ACL/IJCNLP (1) 2021: 306-316 - [c197]Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang:
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. ACL (demo) 2021: 347-355 - [c196]Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang:
On Commonsense Cues in BERT for Solving Commonsense Tasks. ACL/IJCNLP (Findings) 2021: 683-693 - [c195]Dandan Huang, Kun Wang, Yue Zhang:
A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 1718-1732 - [c194]Leyang Cui, Yu Wu, Jian Liu, Sen Yang, Yue Zhang:
Template-Based Named Entity Recognition Using BART. ACL/IJCNLP (Findings) 2021: 1835-1845 - [c193]Cunxiang Wang, Pai Liu, Yue Zhang:
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? ACL/IJCNLP (1) 2021: 3241-3251 - [c192]Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, Weihua Luo:
G-Transformer for Document-Level Machine Translation. ACL/IJCNLP (1) 2021: 3442-3455 - [c191]Qiankun Fu, Linfeng Song, Wenyu Du, Yue Zhang:
End-to-End AMR Corefencence Resolution. ACL/IJCNLP (1) 2021: 4204-4214 - [c190]Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang:
Semantic Representation for Dialogue Modeling. ACL/IJCNLP (1) 2021: 4430-4445 - [c189]Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang:
On Compositional Generalization of Neural Machine Translation. ACL/IJCNLP (1) 2021: 4767-4780 - [c188]Yixian Liu, Liwen Zhang, Xinyu Zhang, Yong Jiang, Yue Zhang, Kewei Tu:
Generalized Supervised Attention for Text Generation. ACL/IJCNLP (Findings) 2021: 4991-5003 - [c187]Yulong Chen, Yang Liu, Liang Chen, Yue Zhang:
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset. ACL/IJCNLP (Findings) 2021: 5062-5074 - [c186]Weinan Zhang, Yue Zhang, Hanlin Tang, Zhengyu Zhao, Caihai Zhu, Ting Liu:
What Did You Refer to? Evaluating Co-References in Dialogue. ACL/IJCNLP (Findings) 2021: 5075-5084 - [c185]Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang:
Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation. EMNLP (1) 2021: 2328-2337 - [c184]Yue Zhang, Bo Zhang, Rui Wang, Junjie Cao, Chen Li, Zuyi Bao:
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents. EMNLP (1) 2021: 2759-2768 - [c183]Jian Liu, Zhiyang Teng, Leyang Cui, Hanmeng Liu, Yue Zhang:
Solving Aspect Category Sentiment Analysis as a Text Generation Task. EMNLP (1) 2021: 4406-4416 - [c182]Lu Cao, Dandan Huang, Yue Zhang:
When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding. IJCAI 2021: 4339-4347 - [c181]Yulong Chen, Yang Liu, Yue Zhang:
DialogSum Challenge: Summarizing Real-Life Scenario Dialogues. INLG 2021: 308-313 - [c180]Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang:
A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents. NAACL-HLT 2021: 1795-1804 - [c179]Xuefeng Bai, Yafu Li, Zhirui Zhang, Mingzhou Xu, Boxing Chen, Weihua Luo, Derek F. Wong, Yue Zhang:
Sentence-State LSTMs For Sequence-to-Sequence Learning. NLPCC (1) 2021: 104-115 - [c178]Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang:
Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. NLPCC (1) 2021: 758-769 - [i86]Guangsheng Bao, Yue Zhang:
Contextualized Rewriting for Text Summarization. CoRR abs/2102.00385 (2021) - [i85]Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge, Dong Yu:
Structural Information Preserving for Graph-to-Text Generation. CoRR abs/2102.06749 (2021) - [i84]Yixian Liu, Liwen Zhang, Wenjuan Han, Yue Zhang, Kewei Tu:
Constrained Text Generation with Global Guidance - Case Study on CommonGen. CoRR abs/2103.07170 (2021) - [i83]Tao Gui, Xiao Wang, Qi Zhang, Qin Liu, Yicheng Zou, Xin Zhou, Rui Zheng, Chong Zhang, Qinzhuo Wu, Jiacheng Ye, Zexiong Pang, Yongxin Zhang, Zhengyan Li, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xinwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Bolin Zhu, Shan Qin, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang:
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. CoRR abs/2103.11441 (2021) - [i82]Yulong Chen, Yang Liu, Liang Chen, Yue Zhang:
DialogSumm: A Real-Life Scenario Dialogue Summarization Dataset. CoRR abs/2105.06762 (2021) - [i81]Yue Zhang, Quan Guo, Parisa Kordjamshidi:
Towards Navigation by Reasoning over Spatial Configurations. CoRR abs/2105.06839 (2021) - [i80]Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang:
Semantic Representation for Dialogue Modeling. CoRR abs/2105.10188 (2021) - [i79]Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, Weihua Luo:
G-Transformer for Document-level Machine Translation. CoRR abs/2105.14761 (2021) - [i78]Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang:
On Compositional Generalization of Neural Machine Translation. CoRR abs/2105.14802 (2021) - [i77]Cunxiang Wang, Pai Liu, Yue Zhang:
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA? CoRR abs/2106.01561 (2021) - [i76]Leyang Cui, Yu Wu, Jian Liu, Sen Yang, Yue Zhang:
Template-Based Named Entity Recognition Using BART. CoRR abs/2106.01760 (2021) - [i75]Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR abs/2106.15231 (2021) - [i74]Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang:
Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. CoRR abs/2108.06743 (2021) - [i73]Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang:
Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation. CoRR abs/2109.05487 (2021) - [i72]Leyang Cui, Sen Yang, Yue Zhang:
Investigating Non-local Features for Neural Constituency Parsing. CoRR abs/2109.12814 (2021) - [i71]Jian Liu, Zhiyang Teng, Leyang Cui, Hanmeng Liu, Yue Zhang:
Solving Aspect Category Sentiment Analysis as a Text Generation Task. CoRR abs/2110.07310 (2021) - [i70]Yue Zhang, Bo Zhang, Rui Wang, Junjie Cao, Chen Li, Zuyi Bao:
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents. CoRR abs/2110.09915 (2021) - [i69]Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2020
- [j29]Junchi Zhang, Mengchi Liu, Yue Zhang:
Topic-informed neural approach for biomedical event extraction. Artif. Intell. Medicine 103: 101783 (2020) - [j28]Yue Zhang:
Deep Learning Approaches to Text Production. Comput. Linguistics 46(4): 899-903 (2020) - [j27]Mingbo Zhao, Yu Liu, Xianrui Li, Zhao Zhang, Yue Zhang:
An End-to-End Framework for Clothing Collocation Based on Semantic Feature Fusion. IEEE Multim. 27(4): 122-132 (2020) - [j26]Yue Zhang, Xianrui Li, Mingquan Lin, Bernard Chiu, Mingbo Zhao:
Deep-recursive residual network for image semantic segmentation. Neural Comput. Appl. 32(16): 12935-12947 (2020) - [j25]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) - [j24]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) - [j23]Yue Zhang, Yile Wang, Jie Yang:
Lattice LSTM for Chinese Sentence Representation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1506-1519 (2020) - [j22]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) - [j21]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) - [j20]Leilei Gan, Yue Zhang:
Investigating Self-Attention Network for Chinese Word Segmentation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2933-2941 (2020) - [c177]Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji:
Latent Emotion Memory for Multi-Label Emotion Classification. AAAI 2020: 7692-7699 - [c176]Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-Yun Ma, Dong Yu:
Relation Extraction Exploiting Full Dependency Forests. AAAI 2020: 8034-8041 - [c175]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 - [c174]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 - [c173]Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang:
Evaluating Commonsense in Pre-Trained Language Models. AAAI 2020: 9733-9740 - [c172]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 - [c171]Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng, Weihua Luo:
Multiscale Collaborative Deep Models for Neural Machine Translation. ACL 2020: 414-426 - [c170]Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou:
MuTual: A Dataset for Multi-Turn Dialogue Reasoning. ACL 2020: 1406-1416 - [c169]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 - [c168]Bo Zhang, Yue Zhang, Rui Wang, Zhenghua Li, Min Zhang:
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks. ACL 2020: 3249-3258 - [c167]Qiji Zhou, Yue Zhang, Donghong Ji, Hao Tang:
AMR Parsing with Latent Structural Information. ACL 2020: 4306-4319 - [c166]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 - [c165]Chen Jia, Yue Zhang:
Multi-Cell Compositional LSTM for NER Domain Adaptation. ACL 2020: 5906-5917 - [c164]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 - [c163]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 - [c162]Qiankun Fu, Yue Zhang, Jiangming Liu, Meishan Zhang:
DRTS Parsing with Structure-Aware Encoding and Decoding. ACL 2020: 6818-6828 - [c161]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 - [c160]Sen Yang, Leyang Cui, Jun Xie, Yue Zhang:
Making the Best Use of Review Summary for Sentiment Analysis. COLING 2020: 173-184 - [c159]Frank Z. Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria:
Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets. COLING 2020: 978-987 - [c158]Zhongqing Wang, Xiujun Zhu, Yue Zhang, Shoushan Li, Guodong Zhou:
Sentiment Forecasting in Dialog. COLING 2020: 2448-2458 - [c157]Yile Wang, Leyang Cui, Yue Zhang:
Does Chinese BERT Encode Word Structure? COLING 2020: 2826-2836 - [c156]Qingrong Xia, Rui Wang, Zhenghua Li, Yue Zhang, Min Zhang:
Semantic Role Labeling with Heterogeneous Syntactic Knowledge. COLING 2020: 2979-2990 - [c155]Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. COLING 2020: 4275-4286 - [c154]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 - [c153]Xuefeng Bai, Linfeng Song, Yue Zhang:
Online Back-Parsing for AMR-to-Text Generation. EMNLP (1) 2020: 1206-1219 - [c152]Chenhua Chen, Zhiyang Teng, Yue Zhang:
Inducing Target-Specific Latent Structures for Aspect Sentiment Classification. EMNLP (1) 2020: 5596-5607 - [c151]Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi:
Inference-Masked Loss for Deep Structured Output Learning. IJCAI 2020: 2754-2761 - [c150]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 - [c149]Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang:
Dialogue State Induction Using Neural Latent Variable Models. IJCAI 2020: 3845-3852 - [c148]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 - [c147]Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang:
SemEval-2020 Task 4: Commonsense Validation and Explanation. SemEval@COLING 2020: 307-321 - [e2]Maosong Sun, Sujian Li, Yue Zhang, Yang Liu, Shizhu He, Gaoqi Rao:
Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30 - November 1, 2020, Proceedings. Lecture Notes in Computer Science 12522, Springer 2020, ISBN 978-3-030-63030-0 [contents] - [i68]Xuefeng Bai, Pengbo Liu, Yue Zhang:
Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network. CoRR abs/2002.09685 (2020) - [i67]Xiao Liu, Heyan Huang, Yue Zhang, Changsen Yuan:
News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition. CoRR abs/2004.01878 (2020) - [i66]Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou:
MuTual: A Dataset for Multi-Turn Dialogue Reasoning. CoRR abs/2004.04494 (2020) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]Qiankun Fu, Yue Zhang, Jiangming Liu, Meishan Zhang:
DRTS Parsing with Structure-Aware Encoding and Decoding. CoRR abs/2005.06901 (2020) - [i60]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) - [i59]Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang:
SemEval-2020 Task 4: Commonsense Validation and Explanation. CoRR abs/2007.00236 (2020) - [i58]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) - [i57]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) - [i56]Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang:
Does BERT Solve Commonsense Task via Commonsense Knowledge? CoRR abs/2008.03945 (2020) - [i55]Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang:
Dialogue State Induction Using Neural Latent Variable Models. CoRR abs/2008.05666 (2020) - [i54]Cunxiang Wang, Jinhang Wu, Luxin Liu, Yue Zhang:
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why? CoRR abs/2008.05925 (2020) - [i53]Xuefeng Bai, Linfeng Song, Yue Zhang:
Online Back-Parsing for AMR-to-Text Generation. CoRR abs/2010.04520 (2020) - [i52]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) - [i51]Yile Wang, Leyang Cui, Yue Zhang:
Does Chinese BERT Encode Word Structure? CoRR abs/2010.07711 (2020) - [i50]Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. CoRR abs/2011.01482 (2020) - [i49]Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang:
Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts. CoRR abs/2011.04864 (2020) - [i48]Yuan Zhang, Zhiyang Teng, Yue Zhang:
End-to-End Chinese Parsing Exploiting Lexicons. CoRR abs/2012.04395 (2020) - [i47]Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang:
SemGloVe: Semantic Co-occurrences for GloVe from BERT. CoRR abs/2012.15197 (2020)
2010 – 2019
- 2019
- [j19]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) - [j18]Mingbo Zhao, Yue Zhang, Zhao Zhang, Jiao Liu, Weijian Kong:
ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning. Neurocomputing 370: 16-27 (2019) - [j17]Frank Z. Xing, Erik Cambria, Yue Zhang:
Sentiment-aware volatility forecasting. Knowl. Based Syst. 176: 68-76 (2019) - [j16]Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su:
Semantic Neural Machine Translation using AMR. Trans. Assoc. Comput. Linguistics 7: 19-31 (2019) - [j15]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) - [j14]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) - [c146]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 - [c145]Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu:
A Neural Network Approach to Verb Phrase Ellipsis Resolution. AAAI 2019: 7468-7475 - [c144]Chen Jia, Liang Xiao, Yue Zhang:
Cross-Domain NER using Cross-Domain Language Modeling. ACL (1) 2019: 2464-2474 - [c143]Xiao Liu, Heyan Huang, Yue Zhang:
Open Domain Event Extraction Using Neural Latent Variable Models. ACL (1) 2019: 2860-2871 - [c142]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 - [c141]Yuan Zhang, Yue Zhang:
Tree Communication Models for Sentiment Analysis. ACL (1) 2019: 3518-3527 - [c140]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 - [c139]Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. ACL (1) 2019: 4642-4651 - [c138]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. BlackboxNLP@ACL 2019: 41-45 - [c137]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 - [c136]Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma:
Domain Adaptive Neural Sentence Compression by Tree Cutting. ECIR (1) 2019: 475-488 - [c135]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 - [c134]Yue Zhang, Rui Wang, Luo Si:
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. EMNLP/IJCNLP (1) 2019: 616-626 - [c133]Meishan Zhang, Yue Zhang, Guohong Fu:
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank. EMNLP/IJCNLP (1) 2019: 997-1006 - [c132]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 - [c131]Qingkai Min, Yuefeng Shi, Yue Zhang:
A Pilot Study for Chinese SQL Semantic Parsing. EMNLP/IJCNLP (1) 2019: 3650-3656 - [c130]Leyang Cui, Yue Zhang:
Hierarchically-Refined Label Attention Network for Sequence Labeling. EMNLP/IJCNLP (1) 2019: 4113-4126 - [c129]Lu Cao, Yue Zhang:
Investigating Lexical and Semantic Cognition by Using Neural Network to Encode and Decode Brain Imaging. HBAI@IJCAI 2019: 84-100 - [c128]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 - [c127]Xinxiang Zhang, Ye Wang, Han Wang, Yue Zhang, Hao Wu, Mingbo Zhao:
Bend Detection of Bridge Chords in UAV Images via Region-Based Deep Semantic Segmentation Network. INDIN 2019: 1459-1463 - [c126]Mingbo Zhao, Yue Zhang, Xue-Song Tang:
Sub-Graph Regularization for Scalable Semi-supervised Classification. INDIN 2019: 1488-1491 - [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 - [i46]Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su:
Semantic Neural Machine Translation using AMR. CoRR abs/1902.07282 (2019) - [i45]Yuxiao Ye, Yue Zhang, Weikang Li, Likun Qiu, Jian Sun:
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings. CoRR abs/1903.01698 (2019) - [i44]Cunxiang Wang, Yue Zhang, Feiliang Ren, Chenxu Zhao, Zhichao Lin, Tian Xie:
Domain Representation for Knowledge Graph Embedding. CoRR abs/1903.10716 (2019) - [i43]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) - [i42]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) - [i41]Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao:
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation. CoRR abs/1906.00363 (2019) - [i40]Guoyin Wang, Yan Song, Yue Zhang, Dong Yu:
Learning Word Embeddings with Domain Awareness. CoRR abs/1906.03249 (2019) - [i39]Xiao Liu, Heyan Huang, Yue Zhang:
Open Domain Event Extraction Using Neural Latent Variable Models. CoRR abs/1906.06947 (2019) - [i38]Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. CoRR abs/1907.00218 (2019) - [i37]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) - [i36]Leilei Gan, Yue Zhang:
Investigating Self-Attention Network for Chinese Word Segmentation. CoRR abs/1907.11512 (2019) - [i35]Leyang Cui, Yue Zhang:
Hierarchically-Refined Label Attention Network for Sequence Labeling. CoRR abs/1908.08676 (2019) - [i34]Xuefeng Bai, Yue Zhang, Hailong Cao, Tiejun Zhao:
Duality Regularization for Unsupervised Bilingual Lexicon Induction. CoRR abs/1909.01013 (2019) - [i33]Meishan Zhang, Yue Zhang, Guohong Fu:
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank. CoRR abs/1909.02235 (2019) - [i32]Qingkai Min, Yuefeng Shi, Yue Zhang:
A Pilot Study for Chinese SQL Semantic Parsing. CoRR abs/1909.13293 (2019) - [i31]Yue Zhang, Rui Wang, Luo Si:
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. CoRR abs/1910.11204 (2019) - [i30]Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang:
Contrastive Attention Mechanism for Abstractive Sentence Summarization. CoRR abs/1910.13114 (2019) - [i29]Sen Yang, Leyang Cui, Yue Zhang:
Exploring Hierarchical Interaction Between Review and Summary for Better Sentiment Analysis. CoRR abs/1911.02711 (2019) - [i28]Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Deep Input Linearization. CoRR abs/1911.02808 (2019) - [i27]Yile Wang, Leyang Cui, Yue Zhang:
Using Dynamic Embeddings to Improve Static Embeddings. CoRR abs/1911.02929 (2019) - [i26]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) - [i25]Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang:
Evaluating Commonsense in Pre-trained Language Models. CoRR abs/1911.11931 (2019) - 2018
- [j13]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) - [j12]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 - [i24]Yue Zhang, Parisa Kordjamshidi:
PE-TU Participation at TAC 2018 Drug-Drug Interaction Extraction from Drug Labels. TAC 2018 - [i23]Kai Song, Yue Zhang, Min Zhang, Weihua Luo:
Improved English to Russian Translation by Neural Suffix Prediction. CoRR abs/1801.03615 (2018) - [i22]Chenhua Chen, Yue Zhang:
Learning How to Self-Learn: Enhancing Self-Training Using Neural Reinforcement Learning. CoRR abs/1804.05734 (2018) - [i21]Enrico Santus, Hongmin Wang, Emmanuele Chersoni, Yue Zhang:
A Rank-Based Similarity Metric for Word Embeddings. CoRR abs/1805.01923 (2018) - [i20]Yue Zhang, Jie Yang:
Chinese NER Using Lattice LSTM. CoRR abs/1805.02023 (2018) - [i19]Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
A Graph-to-Sequence Model for AMR-to-Text Generation. CoRR abs/1805.02473 (2018) - [i18]Yue Zhang, Qi Liu, Linfeng Song:
Sentence-State LSTM for Text Representation. CoRR abs/1805.02474 (2018) - [i17]Jie Yang, Shuailong Liang, Yue Zhang:
Design Challenges and Misconceptions in Neural Sequence Labeling. CoRR abs/1806.04470 (2018) - [i16]Jie Yang, Yue Zhang:
NCRF++: An Open-source Neural Sequence Labeling Toolkit. CoRR abs/1806.05626 (2018) - [i15]Zhiyang Teng, Yue Zhang:
Two Local Models for Neural Constituent Parsing. CoRR abs/1808.04850 (2018) - [i14]Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
N-ary Relation Extraction using Graph State LSTM. CoRR abs/1808.09101 (2018) - [i13]Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea:
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks. CoRR abs/1809.02040 (2018) - [i12]Linfeng Song, Yue Zhang, Daniel Gildea:
Neural Transition-based Syntactic Linearization. CoRR abs/1810.09609 (2018) - [i11]Jie Yang, Yue Zhang, Shuailong Liang:
Subword Encoding in Lattice LSTM for Chinese Word Segmentation. CoRR abs/1810.12594 (2018) - 2017
- [j11]Yinxia Lou, Yue Zhang, Tao Qian, Fei Li, Shufeng Xiong, Donghong Ji:
A transition-based joint model for disease named entity recognition and normalization. Bioinform. 33(15): 2363-2371 (2017) - [j10]Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu:
Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Comput. Intell. 33(3): 428-447 (2017) - [j9]Hao Zhou, Yue Zhang, Chuan Cheng, Shujian Huang, Xinyu Dai, Jiajun Chen:
A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing. J. Artif. Intell. Res. 58: 703-729 (2017) - [j8]Zhiyang Teng, Yue Zhang:
Head-Lexicalized Bidirectional Tree LSTMs. Trans. Assoc. Comput. Linguistics 5: 163-177 (2017) - [c97]Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang, Daniel Gildea:
AMR-to-text Generation with Synchronous Node Replacement Grammar. ACL (2) 2017: 7-13 - [c96]Jie Yang, Yue Zhang, Fei Dong:
Neural Word Segmentation with Rich Pretraining. ACL (1) 2017: 839-849 - [c95]Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang, Hai Leong Chieu:
Universal Dependencies Parsing for Colloquial Singaporean English. ACL (1) 2017: 1732-1744 - [c94]Fei Dong, Yue Zhang, Jie Yang:
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring. CoNLL 2017: 153-162 - [c93]Jiangming Liu, Yue Zhang:
Attention Modeling for Targeted Sentiment. EACL (2) 2017: 572-577 - [c92]Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Deep Input Linearization. EACL (1) 2017: 643-654 - [c91]Zhongqing Wang, Yue Zhang, Ching-Yun Chang:
Integrating Order Information and Event Relation for Script Event Prediction. EMNLP 2017: 57-67 - [c90]Hao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, Xin-Yu Dai, Jiajun Chen:
Word-Context Character Embeddings for Chinese Word Segmentation. EMNLP 2017: 760-766 - [c89]Zhongqing Wang, Yue Zhang:
Opinion Recommendation Using A Neural Model. EMNLP 2017: 1626-1637 - [c88]Meishan Zhang, Yue Zhang, Guohong Fu:
End-to-End Neural Relation Extraction with Global Optimization. EMNLP 2017: 1730-1740 - [c87]Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang, Ting Liu:
Transition-Based Disfluency Detection using LSTMs. EMNLP 2017: 2785-2794 - [c86]Ye Yuan, Yue Zhang:
CBOS: Continuos bag of sentences for learning sentence embeddings. IALP 2017: 111-114 - [c85]Yanxia Qin, Yue Zhang, Min Zhang, Dequan Zheng:
Semantic-frame representation for event detection on Twitter. IALP 2017: 264-267 - [c84]Yu Yuan, Jie Gao, Yue Zhang:
Supervised learning for robust term extraction. IALP 2017: 302-305 - [c83]Peng Shi, Yue Zhang:
Joint bi-affine parsing and semantic role labeling. IALP 2017: 338-341 - [c82]Zhongqing Wang, Yue Zhang:
DDoS Event Forecasting using Twitter Data. IJCAI 2017: 4151-4157 - [c81]Zhongqing Wang, Yue Zhang:
A Neural Model for Joint Event Detection and Summarization. IJCAI 2017: 4158-4164 - [c80]Wanxiang Che, Yue Zhang:
Deep Learning in Lexical Analysis and Parsing. IJCNLP (Tutorial Abstracts) 2017: 1-2 - [c79]Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang:
Dependency Parsing with Partial Annotations: An Empirical Comparison. IJCNLP(1) 2017: 49-58 - [c78]Yuze Gao, Yue Zhang, Tong Xiao:
Implicit Syntactic Features for Target-dependent Sentiment Analysis. IJCNLP(1) 2017: 516-524 - [c77]Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma:
Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization. IJCNLP(1) 2017: 812-821 - [c76]Jie Yang, Yue Zhang, Fei Dong:
Neural Reranking for Named Entity Recognition. RANLP 2017: 784-792 - [e1]Rong Tong, Yue Zhang, Yanfeng Lu, Minghui Dong:
2017 International Conference on Asian Language Processing, IALP 2017, Singapore, December 5-7, 2017. IEEE 2017, ISBN 978-1-5386-1981-0 [contents] - [i10]Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang, Daniel Gildea:
AMR-to-text Generation with Synchronous Node Replacement Grammar. CoRR abs/1702.00500 (2017) - [i9]Jie Yang, Yue Zhang, Fei Dong:
Neural Word Segmentation with Rich Pretraining. CoRR abs/1704.08960 (2017) - [i8]Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang, Hai Leong Chieu:
Universal Dependencies Parsing for Colloquial Singaporean English. CoRR abs/1705.06463 (2017) - [i7]Jie Yang, Yue Zhang, Fei Dong:
Neural Reranking for Named Entity Recognition. CoRR abs/1707.05127 (2017) - [i6]Jie Yang, Zhiyang Teng, Meishan Zhang, Yue Zhang:
Combining Discrete and Neural Features for Sequence Labeling. CoRR abs/1708.07279 (2017) - [i5]Jie Yang, Yue Zhang:
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. CoRR abs/1711.03759 (2017) - 2016
- [j7]Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan:
Exploiting meta features for dependency parsing and part-of-speech tagging. Artif. Intell. 230: 173-191 (2016) - [j6]Le Wang, Yue Zhang, Lei Shi:
Hyperbolic Dependency Tree Visualization for Parser Evaluation. Int. J. Softw. Informatics 10(3) (2016) - [j5]Hao Zhou, Shujian Huang, Junsheng Zhou, Yue Zhang, Huadong Chen, Xinyu Dai, Chuan Cheng, Jiajun Chen:
Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 15(3): 13:1-13:17 (2016) - [c75]Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji:
Context-Sensitive Twitter Sentiment Classification Using Neural Network. AAAI 2016: 215-221 - [c74]Likun Qiu, Yue Zhang, Meishan Zhang:
Dependency Tree Representations of Predicate-Argument Structures. AAAI 2016: 2645-2651 - [c73]Chen Lyu, Yue Zhang, Donghong Ji:
Joint Word Segmentation, POS-Tagging and Syntactic Chunking. AAAI 2016: 3007-3014 - [c72]Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji:
Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings. AAAI 2016: 3038-3044 - [c71]Meishan Zhang, Yue Zhang, Duy-Tin Vo:
Gated Neural Networks for Targeted Sentiment Analysis. AAAI 2016: 3087-3093 - [c70]Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang:
Active Learning for Dependency Parsing with Partial Annotation. ACL (1) 2016 - [c69]Duy-Tin Vo, Yue Zhang:
Don't Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text. ACL (2) 2016 - [c68]Meishan Zhang, Yue Zhang, Guohong Fu:
Transition-Based Neural Word Segmentation. ACL (1) 2016 - [c67]Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, Xinyu Dai, Jiajun Chen:
A Search-Based Dynamic Reranking Model for Dependency Parsing. ACL (1) 2016 - [c66]Jie Yang, Zhiyang Teng, Meishan Zhang, Yue Zhang:
Combining Discrete and Neural Features for Sequence Labeling. CICLing (1) 2016: 140-154 - [c65]Yafeng Ren, Yue Zhang:
Deceptive Opinion Spam Detection Using Neural Network. COLING 2016: 140-150 - [c64]Zhongqing Wang, Yue Zhang, Sophia Yat Mei Lee, Shoushan Li, Guodong Zhou:
A Bilingual Attention Network for Code-switched Emotion Prediction. COLING 2016: 1624-1634 - [c63]Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan:
Knowledge-Driven Event Embedding for Stock Prediction. COLING 2016: 2133-2142 - [c62]Meishan Zhang, Yue Zhang, Guohong Fu:
Tweet Sarcasm Detection Using Deep Neural Network. COLING 2016: 2449-2460 - [c61]Shufeng Xiong, Yue Zhang, Donghong Ji, Yinxia Lou:
Distance Metric Learning for Aspect Phrase Grouping. COLING 2016: 2492-2502 - [c60]Ching-Yun Chang, Yue Zhang, Zhiyang Teng, Zahn Bozanic, Bin Ke:
Measuring the Information Content of Financial News. COLING 2016: 3216-3225 - [c59]Hongshen Chen, Yue Zhang, Qun Liu:
Neural Network for Heterogeneous Annotations. EMNLP 2016: 731-741 - [c58]Peng Shi, Zhiyang Teng, Yue Zhang:
Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network. EMNLP 2016: 968-974 - [c57]Fei Dong, Yue Zhang:
Automatic Features for Essay Scoring - An Empirical Study. EMNLP 2016: 1072-1077 - [c56]Zhiyang Teng, Duy-Tin Vo, Yue Zhang:
Context-Sensitive Lexicon Features for Neural Sentiment Analysis. EMNLP 2016: 1629-1638 - [c55]Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang, Daniel Gildea:
AMR-to-text generation as a Traveling Salesman Problem. EMNLP 2016: 2084-2089 - [c54]Peng Jin, Yue Zhang, Xingyuan Chen, Yunqing Xia:
Bag-of-Embeddings for Text Classification. IJCAI 2016: 2824-2830 - [c53]Fei Li, Yue Zhang, Meishan Zhang, Donghong Ji:
Joint Models for Extracting Adverse Drug Events from Biomedical Text. IJCAI 2016: 2838-2844 - [c52]Yanan Lu, Yue Zhang, Dong-Hong Ji:
Multi-prototype Chinese Character Embedding. LREC 2016 - [c51]Meishan Zhang, Jie Yang, Zhiyang Teng, Yue Zhang:
LibN3L: A Lightweight Package for Neural NLP. LREC 2016 - [c50]Hao Zhou, Yue Zhang, Shujian Huang, Xinyu Dai, Jiajun Chen:
Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing. LREC 2016 - [c49]Ching-Yun Chang, Zhiyang Teng, Yue Zhang:
Expectation-Regulated Neural Model for Event Mention Extraction. HLT-NAACL 2016: 400-410 - [c48]Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Syntactic Linearization with Lookahead Features. HLT-NAACL 2016: 488-493 - [i4]Shufeng Xiong, Yue Zhang, Donghong Ji, Yinxia Lou:
Distance Metric Learning for Aspect Phrase Grouping. CoRR abs/1604.08672 (2016) - [i3]Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang, Daniel Gildea:
AMR-to-text generation as a Traveling Salesman Problem. CoRR abs/1609.07451 (2016) - [i2]Zhenghua Li, Yue Zhang, Jiayuan Chao, Min Zhang:
Training Dependency Parsers with Partial Annotation. CoRR abs/1609.09247 (2016) - [i1]Zhiyang Teng, Yue Zhang:
Bidirectional Tree-Structured LSTM with Head Lexicalization. CoRR abs/1611.06788 (2016) - 2015
- [b1]Yue Zhang:
An Introduction to Python and Computer Programming. Lecture Notes in Electrical Engineering 353, Springer 2015, ISBN 978-981-287-608-9, pp. 1-295 - [j4]Yue Zhang, Stephen Clark:
Discriminative Syntax-Based Word Ordering for Text Generation. Comput. Linguistics 41(3): 503-538 (2015) - [j3]Wenliang Chen, Min Zhang, Yue Zhang:
Distributed Feature Representations for Dependency Parsing. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 451-460 (2015) - [c47]Likun Qiu, Yue Zhang:
Word Segmentation for Chinese Novels. AAAI 2015: 2440-2446 - [c46]Rui Sun, Yue Zhang, Meishan Zhang, Dong-Hong Ji:
Event-Driven Headline Generation. ACL (1) 2015: 462-472 - [c45]Hao Zhou, Yue Zhang, Shujian Huang, Jiajun Chen:
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing. ACL (1) 2015: 1213-1222 - [c44]Jiangming Liu, Yue Zhang:
An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering. EMNLP 2015: 369-378 - [c43]Meishan Zhang, Yue Zhang, Duy-Tin Vo:
Neural Networks for Open Domain Targeted Sentiment. EMNLP 2015: 612-621 - [c42]Meishan Zhang, Yue Zhang:
Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing. EMNLP 2015: 1316-1321 - [c41]Tao Qian, Yue Zhang, Meishan Zhang, Yafeng Ren, Dong-Hong Ji:
A Transition-based Model for Joint Segmentation, POS-tagging and Normalization. EMNLP 2015: 1837-1846 - [c40]Likun Qiu, Yue Zhang, Yanan Lu:
Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining. EMNLP 2015: 2441-2450 - [c39]Duy-Tin Vo, Yue Zhang:
Target-Dependent Twitter Sentiment Classification with Rich Automatic Features. IJCAI 2015: 1347-1353 - [c38]Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan:
Deep Learning for Event-Driven Stock Prediction. IJCAI 2015: 2327-2333 - [c37]Yijia Liu, Yue Zhang, Wanxiang Che, Bing Qin:
Transition-Based Syntactic Linearization. HLT-NAACL 2015: 113-122 - 2014
- [j2]Isabel Ortiz, Miguel Ballesteros, Yue Zhang:
ViZPar: A GUI for ZPar with Manual Feature Selection. Proces. del Leng. Natural 53: 181-184 (2014) - [c36]Linfeng Song, Yue Zhang, Kai Song, Qun Liu:
Joint Morphological Generation and Syntactic Linearization. AAAI 2014: 1522-1528 - [c35]Yue Zhang, Meishan Zhang, Ting Liu:
Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding. ACL (Tutorial Abstracts) 2014: 13-15 - [c34]Ji Ma, Yue Zhang, Jingbo Zhu:
Tagging The Web: Building A Robust Web Tagger with Neural Network. ACL (1) 2014: 144-154 - [c33]Wenduan Xu, Stephen Clark, Yue Zhang:
Shift-Reduce CCG Parsing with a Dependency Model. ACL (1) 2014: 218-227 - [c32]Kepa Bengoetxea, Eneko Agirre, Joakim Nivre, Yue Zhang, Koldo Gojenola:
On WordNet Semantic Classes and Dependency Parsing. ACL (2) 2014: 649-655 - [c31]Ji Ma, Yue Zhang, Jingbo Zhu:
Punctuation Processing for Projective Dependency Parsing. ACL (2) 2014: 791-796 - [c30]Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu:
Character-Level Chinese Dependency Parsing. ACL (1) 2014: 1326-1336 - [c29]Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu:
A Semantics Oriented Grammar for Chinese Treebanking. CICLing (1) 2014: 366-378 - [c28]Likun Qiu, Yue Zhang, Peng Jin, Houfeng Wang:
Multi-view Chinese Treebanking. COLING 2014: 257-268 - [c27]Wenliang Chen, Yue Zhang, Min Zhang:
Feature Embedding for Dependency Parsing. COLING 2014: 816-826 - [c26]Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu:
Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging. EACL 2014: 588-597 - [c25]Yue Zhang, Kai Song, Linfeng Song, Jingbo Zhu, Qun Liu:
Syntactic SMT Using a Discriminative Text Generation Model. EMNLP 2014: 177-182 - [c24]Yijia Liu, Yue Zhang, Wanxiang Che, Ting Liu, Fan Wu:
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations. EMNLP 2014: 864-874 - [c23]Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan:
Using Structured Events to Predict Stock Price Movement: An Empirical Investigation. EMNLP 2014: 1415-1425 - [c22]Likun Qiu, Yue Zhang:
ZORE: A Syntax-based System for Chinese Open Relation Extraction. EMNLP 2014: 1870-1880 - [c21]Shuang Liu, Jun Sun, Yang Liu, Yue Zhang, Bimlesh Wadhwa, Jin Song Dong, Xinyu Wang:
Automatic early defects detection in use case documents. ASE 2014: 785-790 - 2013
- [c20]Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu:
Chinese Parsing Exploiting Characters. ACL (1) 2013: 125-134 - [c19]Wenduan Xu, Yue Zhang, Philip Williams, Philipp Koehn:
Learning to Prune: Context-Sensitive Pruning for Syntactic MT. ACL (2) 2013: 352-357 - [c18]Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, Jingbo Zhu:
Fast and Accurate Shift-Reduce Constituent Parsing. ACL (1) 2013: 434-443 - [c17]Wenliang Chen, Min Zhang, Yue Zhang:
Semi-Supervised Feature Transformation for Dependency Parsing. EMNLP 2013: 1303-1313 - [c16]Yue Zhang:
Partial-Tree Linearization: Generalized Word Ordering for Text Synthesis. IJCAI 2013: 2232-2238 - [c15]Yanxia Qin, Yue Zhang, Min Zhang, Dequan Zheng:
Feature-Rich Segment-Based News Event Detection on Twitter. IJCNLP 2013: 302-310 - 2012
- [c14]Yang Liu, Yue Zhang:
Unsupervised Domain Adaptation for Joint Segmentation and POS-Tagging. COLING (Posters) 2012: 745-754 - [c13]Yue Zhang, Joakim Nivre:
Analyzing the Effect of Global Learning and Beam-Search on Transition-Based Dependency Parsing. COLING (Posters) 2012: 1391-1400 - [c12]Yue Zhang, Graeme W. Blackwood, Stephen Clark:
Syntax-Based Word Ordering Incorporating a Large-Scale Language Model. EACL 2012: 736-746 - 2011
- [j1]Yue Zhang, Stephen Clark:
Syntactic Processing Using the Generalized Perceptron and Beam Search. Comput. Linguistics 37(1): 105-151 (2011) - [c11]Yue Zhang, Joakim Nivre:
Transition-based Dependency Parsing with Rich Non-local Features. ACL (2) 2011: 188-193 - [c10]Yue Zhang, Stephen Clark:
Shift-Reduce CCG Parsing. ACL 2011: 683-692 - [c9]Yue Zhang, Stephen Clark:
Syntax-Based Grammaticality Improvement using CCG and Guided Search. EMNLP 2011: 1147-1157 - 2010
- [c8]Yue Zhang, Byung-Gyu Ahn, Stephen Clark, Curt Van Wyk, James R. Curran, Laura Rimell:
Chart Pruning for Fast Lexicalised-Grammar Parsing. COLING (Posters) 2010: 1471-1479 - [c7]Yue Zhang, Stephen Clark:
A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model. EMNLP 2010: 843-852 - [c6]Qin Iris Wang, Yue Zhang:
Recent Advances in Dependency Parsing. NAACL (Tutorial Abstracts) 2010: 7-8 - [c5]Qi Zhang, Yue Zhang, Haomin Yu, Xuanjing Huang:
Efficient partial-duplicate detection based on sequence matching. SIGIR 2010: 675-682
2000 – 2009
- 2009
- [c4]Yue Zhang, Stephen Clark:
Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model. IWPT 2009: 162-171 - 2008
- [c3]Yue Zhang, Stephen Clark:
Joint Word Segmentation and POS Tagging Using a Single Perceptron. ACL 2008: 888-896 - [c2]Yue Zhang, Stephen Clark:
A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing. EMNLP 2008: 562-571 - 2007
- [c1]Yue Zhang, Stephen Clark:
Chinese Segmentation with a Word-Based Perceptron Algorithm. ACL 2007
Coauthor Index
[c292] [c288] [i196] [i185] [j45] [c251] [c246] [c242] [c237] [i166] [i162] [i161] [i151] [i145] [i140] [i138] [i128] [j39] [c229] [c226] [c216] [c209] [c206] [i124] [i123] [i103] [i97] [i96] [j31] [c199] [c196] [c194] [c185] [c183] [i76] [i73] [i72] [i71] [c173] [c170] [c160] [c157] [c154] [c150] [i66] [i57] [i56] [i52] [i51] [i49] [c130] [i35] [i29] [i27] [i25]
Donghong Ji
aka: Dong-Hong Ji
aka: Dong-Hong Ji
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