LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation. 2024.
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang.
In Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, November.
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Yongjing Yin, Wenyang Gao, Haodong Wu, Jianhao Yan, Yue Zhang. 2024.
Empirical Prior for Text Autoencoders.
In Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, November.
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Liu Pai, Wenyang Gao, Wenjie Dong, Lin Ai, Ziwei Gong, Songfang Huang, Li Zongsheng, Ehsan Hoque, Julia Hirschberg, Yue Zhang. 2024.
A Survey on Open Information Extraction from Rule-based Model to Large Language Model.
In Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, November.
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Xuanwang Zhang, Yun-Ze Song, Yidong Wang, Shuyun Tang, Xinfeng Li, Zhengran Zeng, Zhen Wu, Wei Ye, Wenyuan Xu, Yue Zhang, Xinyu Dai, Shikun Zhang, Qingsong Wen. 2024.
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation.
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, November.
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Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang. 2024.
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Miami, Florida, November.
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Yongjing Yin, Junran Ding, Kai Song, Yue Zhang. 2024.
Semformer: Transformer Language Models with Semantic Planning.
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, November.
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Ziqi Zhang, Cunxiang Wang, Xiao Xiong, Yue Zhang, Donglin Wang. 2024.
Nash CoT: Multi-Path Inference with Preference Equilibrium.
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, November.
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Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu. 2024.
Knowledge Conflicts for LLMs: A Survey.
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, November.
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Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang. 2024.
ECON: On the Detection and Resolution of Evidence Conflicts.
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, November.
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Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang. 2024.
Knowledge-Centric Hallucination Detection.
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, November.
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Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang. 2024.
Can Language Models Learn to Skip Steps?
In Proceedings of the SoCal NLP Symposium 2024, University of California, San Diego | Nov 22, 2024.
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Yulong Chen, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yang Liu, Ziyi Yang, Chenguang Zhu, Yue Zhang. 2024.
See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses.
In Proceedings of the First Conference on Language Modeling, University of Pennsylvania Philadelphia, PA October 7-9, 2024.
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Hanxu Hu, Hongyuan Lu, Huajian Zhang, Yun-Ze Song, Wai Lam, Yue Zhang. 2024.
Chain-of-Symbol Prompting For Spatial Reasoning in Large Language Models.
In Proceedings of the First Conference on Language Modeling, University of Pennsylvania Philadelphia, PA October 7-9, 2024.
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Yingjie Li, Yue Zhang. 2024.
Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection.
In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Yongqiang Ma, Lizhi Qing, Jiawei Liu, Yangyang Kang, Yue Zhang, Wei Lu, Xiaozhong Liu, Qikai Cheng. 2024.
From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications.
In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Jianhao Yan, Yun Luo, Yue Zhang. 2024.
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models.
In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Chenye Zhao, Yingjie Li, Cornelia Caragea, Yue Zhang. 2024.
ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation.
In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Runzhe Zhan, Xinyi Yang, Derek F. Wong, Lidia S. Chao, Yue Zhang. 2024.
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model.
In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang. 2024.
What Have We Achieved on Non-autoregressive Translation?
In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang. 2024.
Spotting AI’s Touch: Identifying LLM-Paraphrased Spans in Text.
In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, Rada Mihalcea. 2024.
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs.
In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang. 2024.
MAGE: Machine-generated Text Detection in the Wild.
In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang. 2024.
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models.
In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang. 2024.
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand from August 11th to 16th, 2024.
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Dandan Huang, Lu Cao, Zhenting Li and Yue Zhang. 2024.
Which Sense Dominates Multisensory Semantic Understanding? A Brain Decoding Study.
In Proceedings of the 2024 joint international Conference on Computational Linguistics, Language Resource and Evaluation (LREC-COLING 2024), Torino, Italy.
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Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou and Yue Zhang. 2024.
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding.
In Proceedings of the 2024 joint international Conference on Computational Linguistics, Language Resource and Evaluation (LREC-COLING 2024), Torino, Italy.
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Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang. 2024.
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature.
In Proceedings of the Internation Conference on Learning Representation (ICLR 2024), Vienna, Austria.
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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. 2024.
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
In Proceedings of the Internation Conference on Learning Representation (ICLR 2024), Vienna, Austria.
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Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang. 2024.
Supervised Knowledge Makes Large Language Models Better In-context Learners.
In Proceedings of the Internation Conference on Learning Representation (ICLR 2024), Vienna, Austria.
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2023
Guangsheng Bao, Zebin Ou, Yue Zhang.
GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization.
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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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.
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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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.
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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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.
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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Jiayang Cheng, Lin Qiu, Tsz Ho CHAN, Tianqing Fang, Weiqi Wang, Chunkit Chan, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang.
STORYANALOGY: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding.
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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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.
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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Chen Jia, Yue Zhang.
Memory-Based Invariance Learning for Out-of-Domain Text Classification.
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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Jianling Li, Meishan Zhang, Peiming Guo, Min Zhang, Yue Zhang.
LLM-enhanced Self-training for Cross-doamin Constituency Parsing.
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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Guangsheng Bao, Zhiyang Teng, Hao Zhou, Jianhao Yan, Yue Zhang.
Non-Autoregressive Document-Level Machine Translation.
In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang.
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information.
In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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Hanmeng Liu, Zhiyang Teng, Leyang Cui, Chaoli Zhang, Qiji Zhou, Yue Zhang.
LogiCoT: Logical Chain-of-Thought Instruction Tuning.
In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi.
TRAMS: Training-free Memory Selection for Long-range Language Modeling.
In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December.
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Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang. 2023.
Evaluating Open-QA Evaluation.
In Proceedings of the Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Datasets and Benchmarks Track.
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Linyi Yang, Yingpeng Ma and Yue Zhang. 2023.
Measuring Consistency in Text-based Financial Forecasting Models.
In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023). Toronto, Canada from July 9th to July 14th, 2023.
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Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu and Yue Zhang. 2023.
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023).Toronto, Canada from July 9th to July 14th, 2023.
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Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng and Yue Zhang. 2023.
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization.
In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023).Toronto, Canada from July 9th to July 14th, 2023.
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Guangsheng Bao, Zhiyang Teng, and Yue Zhang. 2023.
Target-Side Augmentation for Document-Level Machine Translation.
In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023). Toronto, Canada from July 9th to July 14th, 2023.
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Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi and Yue Zhang. 2023.
Explicit Syntactic Guidance for Neural Text Generation.
In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023). Toronto, Canada from July 9th to July 14th, 2023.
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Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou and Yue Zhang. 2023.
Consistency Regularization Training for Compositional Generalization.
In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023).Toronto, Canada from July 9th to July 14th, 2023.
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Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu and Zheng Zhang. 2023.
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction.
In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023).Toronto, Canada from July 9th to July 14th, 2023.
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Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang, Zheng Zhang. 2023.
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations.
In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023).Toronto, Canada from July 9th to July 14th, 2023.
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Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu and Zheng Zhang. 2023.
Dual Cache for Long Document Neural Coreference Resolution.
In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023).Toronto, Canada from July 9th to July 14th, 2023.
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Xiaoyi Bao, Xiaotong Jiang, Zhongqing Wang, Yue Zhang and Guodong Zhou. 2023.
Opinion Tree Parsing for Aspect-based Sentiment Analysis.
In Findings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023).Toronto, Canada from July 9th to July 14th, 2023.
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Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie and Yue Zhang. 2023.
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.
In Findings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023). Toronto, Canada from July 9th to July 14th, 2023.
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Yingjie Niu, Linyi Yang, Ruihai Dong and Yue Zhang. 2023.
Learning to Generalize for Cross-domain QA.
In Findings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023). Toronto, Canada from July 9th to July 14th, 2023.
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Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham and Jennifer Foster. 2023.
Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis.
In Findings of the of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023).Toronto, Canada from July 9th to July 14th, 2023.
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Cunxiang Wang, Qipeng Guo, Zhikun Xu, Xiangkun Hu, Xuefeng Bai, Zheng Zhang and Yue Zhang. 2023.
Exploiting Abstract Meaning Representation for Open-Domain Question Answering.
In Findings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023). Toronto, Canada from July 9th to July 14th, 2023.
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Cunxiang Wang, Haofei Yu and Yue Zhang. 2023.
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering.
In Findings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL2023). Toronto, Canada from July 9th to July 14th, 2023.
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Guangsheng Bao, Zhiyang Teng, and Yue Zhang. 2023.
Token-Level Fitting Issues of Seq2seq Models.
In Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP) at ACL 2023. Toronto, Canada from July 9th to July 14th, 2023.
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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. 2023.
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
In Proceedings of the workshop on Trustworthy and Reliable Large-Scale Machine Learning Models (RTML) at ICLR 2023, Kigali, Rwanda, May.
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Fang Guo, Yun Luo, Linyi Yang, Yue Zhang. 2023.
SciMine: An Efficient Systematic Review Model Based on Document And Phrase Information.
In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Taipei, China, July.
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Hongliang He, Junlei Zhang, Zhenzhong Lan, Yue Zhang. 2023.
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding.
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2023), Washington DC, USA, February.
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Qi He, Yue Zhang and Zhi Chen. 2023.
Joint Transmission and Understanding of Semantics with Edge Intelligence.
In Proceedings of the 2023 IEEE International Conference on Communications (ICC), Rome, Italy, May.
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Yun Luo, Zihan Liu, Stan Z. Li, and Yue Zhang. 2023.
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions.
In Proceedings of the ACM Web Conference 2023 (WWW 23), Austin, Texas, USA, April.
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2022
Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang. 2022.
Pre-Training a Graph Recurrent Network for Language Representation.
In the second version of the Efficient Natural Language and Speech Processing (ENLSP-II) workshop, New Orleans, Louisiana, USA, 2022.
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Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang. 2022.
Multi-Granularity Optimization for Non-Autoregressive Translation.
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, United Arab Emirates, December.
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Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang. 2022.
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees.
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, United Arab Emirates, December.
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Chen Jia, Yue Zhang. 2022.
Prompt-based Distribution Alignment for Domain Generalization in Text Classification.
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, United Arab Emirates, December.
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Xuefeng Bai, Sen Yang, Leyang Cui, Linfeng Song, Yue Zhang. 2022.
Cross-domain Generalization for AMR Parsing.
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, United Arab Emirates, December.
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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, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang. 2022.
USB: A Unified Semi-supervised Learning Benchmark for Classification.
In Proceedings of the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track.
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Xuefeng Bai, Linfeng Song, Yue Zhang. 2022.
Semantic-based Pre-training for Dialogue Understanding.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Naihao Deng, Yulong Chen, Yue Zhang. 2022.
Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Kaixin Wu, Yue Zhang, Bojie Hu, Tong Zhang. 2022.
Speeding up Transformer Decoding via an Attention Refinement Network.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Yun Luo, Fang Guo, Zihan Liu, Yue Zhang. 2022.
Mere Contrastive Learning for Cross-Domain Sentiment Analysis.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Yun Luo, Zihan Liu, Yuefeng Shi, Stan Z. Li, Yue Zhang. 2022.
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Zebin Ou, Meishan Zhang, Yue Zhang. 2022.
On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang. 2022.
Human-in-the-loop Robotic Grasping Using BERT Scene Representation.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang. 2022.
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang. 2022.
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang. 2022.
Categorizing Semantic Representations for Neural Machine Translation.
In Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju, Republic of Korea, Oct.
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Zhiyang Teng, Chenhua Chen, Yan Zhang and Yue Zhang. 2022.
Contrastive Latent Variable Models for Neural Text Generation.
In International Conference on Uncertainty in Artificial Intelligence (UAI). Eindhoven, Netherlands, Aug.
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Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang and Barry Smyth. 2022.
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting.
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). Online, Feb.
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Chuang Fan, Daoxing Liu, Libo Qin, Yue Zhang, Ruifeng Xu. 2022.
Towards Event-level Causal Relation Identification.
In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). Online and in the C ́ırculo de Bellas Artes Calle de Alcala ́, 42, Madrid, Spain, Jun.
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Jinghui Lu, Linyi Yang, Brian Mac Namee and Yue Zhang. 2022.
A Rationale-Centric Framework for Human-in-the-loop Machine Learning.
In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL). Online and in Dublin, Ireland, May.
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Chenhua Chen, Zhiyang Teng, Zhongqing Wang and Yue Zhang. 2022.
Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis.
In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL). Online and in Dublin, Ireland, May.
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Xuefeng Bai, Yulong Chen and Yue Zhang. 2022.
Graph Pre-training for AMR Parsing and Generation.
In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL). Online and in Dublin, Ireland, May.
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Leyang Cui, Sen Yang and Yue Zhang. 2022.
Investigating Non-local Features for Neural Constituency Parsing.
In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL). Online and in Dublin, Ireland, May.
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Proceedings of 16th Annual Conference of the North American Chapter of the Association for
Computational Linguistics (NAACL), New Orleans, Louisiana, June.
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Qi Liu, Yue Zhang and Jiangming Liu. 2018. Learning Domain
Representation for
Multi-domain
Sentiment Classification. In Proceedings of 16th Annual Conference of the North
American Chapter of the Association for Computational Linguistics (NAACL), New Orleans,
Louisiana, June.
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Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng and Roger
Zimmermann. 2018.
Multi-modal
Multi-task Learning for Automatic Dietary Assessment, In Proceedings of
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Louisiana, USA,
February.
[PDF][BIB]
Kai Song, Yue Zhang, Min Zhang and Weihua Luo. 2018. Improved
English to Russian
Translation by Neural Suffix Prediction. In Proceedings of Thirty-Second AAAI
Conference on Artificial Intelligence (AAAI-18) Louisiana, USA, February.
[PDF][BIB]
2017
Peng Shi and Yue Zhang. 2017. Joint Bi-Affine Parsing and Semantic Role
Labeling.
International Conference on Asian Language Processing (IALP), Singapore.
[PDF][BIB]
Yu Yuan,
Jie Gao and
Yue Zhang. 2017. Supervised learning for robust term extraction. International
Conference on Asian Language Processing (IALP), Singapore.
[PDF][BIB]
Ye Yuan
and
Yue Zhang. 2017. CBOS: Continuos bag of sentences for learning sentence embeddings.
International Conference on Asian Language Processing (IALP), Singapore.
[PDF][BIB]
Yanxia Qin, Yue Zhang, Min Zhang and Dequan Zheng. 2017.
Semantic-frame representation for event detection on Twitter. International
Conference on Asian Language Processing (IALP), Singapore.
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Jiangming Liu and Yue Zhang. 2017. Encoder-Decoder Shift-Reduce
Syntactic
Parsing.
In Proceedings of 15th International Conference on Parsing Technologies(IWPT), Pisa, Italy,
September.
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Litton J Kurisinkel, Yue Zhang and Vasudeva Varma. 2017. Abstractive
Multi-document
Summarization
by Partial Tree Extraction, Recombination and Linearization. In Proceedings of the
International Joint Conference on Natural Language Processing (IJCNLP), Taipei, Taiwan,
China,
November.
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Yuze Gao and Yue Zhang. 2017. Implicit Syntactic Features for
Target-dependent
Sentiment
Analysis. In Proceedings of the International Joint Conference on Natural Language
Processing (IJCNLP), Taipei, Taiwan, China, November.
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Jie Yang, Yue Zhang and Fei Dong. 2017. Neural Reranking for Named
Entity
Recognition. In
Proceedings of the 2017 Conference on Recent Advances in Natural Language Processing
(RANLP), Varna, Bulgaria, September.
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Dingcheng Li, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel
Dean,
Xiaoxi Liu,
Jingmin Xu, Hui Lei and Yaoping Ruan. 2017. Mapping Client Messages to a Unified Data
Model
with
Mixture Feature Embedding Convolutional Neural Network. In Proceedings of IEEE
International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, USA,
November.
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Hao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, XinYu Dai and Jiajun
Chen. 2017.
Word-Context
Character Embeddings for Chinese Word Segmentation. In Proceedings of the 2017
Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark,
September.
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Zhongqing Wang, Yue Zhang and Ching-Yun Chang. 2017. Integrating Order
Information and
Event
Relation for Script Event Prediction. In Proceedings of the 2017 Conference on
Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September.
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Zhongqing Wang and Yue Zhang. 2017. Opinion Recommendation Using A
Neural
Model.
In
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
(EMNLP), Copenhagen, Denmark, September.
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Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang and Ting Liu.
2017.
Transition-Based
Disfluency Detection using LSTMs. In Proceedings of the 2017 Conference on
Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September.
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Meishan Zhang, Yue Zhang and Guohong Fu. 2017. End-to-End Neural
Relation
Extraction
with Global
Optimization. In Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing (EMNLP), Copenhagen, Denmark, September.
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Fei Dong, Yue Zhang and Jie Yang. 2017. Attention-based Recurrent
Convolutional Neural
Network
for Automatic Essay Scoring. In Proceedings of the 21st Conference on Computational
Natural Language Learning (CoNLL), Vancouver, Canada, August.
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Zhongqing Wang and Yue Zhang. 2017. DDoS Event Forecasting using
Twitter
Data. In
Proceedings of the 26nd International Joint Conference on Artificial Intelligence (IJCAI).
Melbourne, Australia, August.
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Zhongqing Wang and Yue Zhang. 2017. A Neural Model for Joint
Event
Detection and
Summarization. In Proceedings of the 26nd International Joint Conference on
Artificial Intelligence (IJCAI), Melbourne, Australia, August.
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Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang and Daniel Gildea.
2017.
AMR-to-text
Generation with Synchronous Node Replacement Grammar. In Proceedings of the 55th
Annual Meeting of the Association for Computational Linguistics (ACL). Vancouver, Canada,
July.
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Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang and Hai Leong
Chieu. 2017.
Universal
Dependencies Parsing for Colloquial Singaporean English. In Proceedings of the 55th
Annual Meeting of the Association for Computational Linguistics (ACL). Vancouver, Canada,
July.
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Jie Yang, Yue Zhang and Fei Dong. 2017. Neural Word Segmentation
with
Rich
Pretraining. In
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(ACL). Vancouver, Canada, July.
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Jiangming Liu and Yue Zhang. 2017. Attention Modeling for Targeted
Sentiment. In
Proceedings
of the 15th Conference of the European Chapter of the Association for Computational
Linguistics (EACL), Valencia, Spain, April.
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Ratish Puduppully, Yue Zhang and Manish Shrivastava. 2017.
Transition-Based Deep Input
Linearization. In Proceedings of the 15th Conference of the European Chapter of the
Association for Computational Linguistics (EACL), Valencia, Spain, April.
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2016
Ching-Yun Chang, Yue Zhang, Zhiyang Teng, Zahn Bozanic and Bin Ke. 2016.
Measuring the
Information Content of Financial News. In Proceedings of the 2016 International
Conference on Computational Linguistics (Coling), Osaka, Japan, December.
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Shufeng Xiong, Yue Zhang, Donghong Ji and Yinxia Lou. 2016. Distance
Metric
Learning for
Aspect Phrase Grouping. In Proceedings of the 2016 International Conference on
Computational Linguistics (Coling), Osaka, Japan, December.
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Meishan Zhang, Yue Zhang and Guohong Fu. 2016. Tweet Sarcasm Detection
Using
Deep
Neural
Network. In Proceedings of the 2016 International Conference on Computational
Linguistics (Coling), Osaka, Japan, December.
[PDF][BIB]
Xiao Ding, Yue Zhang, Ting Liu and Junwen Duan. 2016.
Knowledge-Driven
Event Embedding
for Stock
Prediction. In Proceedings of the 2016 International Conference on Computational
Linguistics (Coling), Osaka, Japan, December.
[PDF][BIB]
Zhongqing Wang, Yue Zhang, Sophia Lee, Shoushan Li and Guodong Zhou.
2016.
A
Bilingual Attention
Network for Code-switched Emotion Prediction. In Proceedings of the 2016
International Conference on Computational Linguistics (Coling), Osaka, Japan, December.
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Yafeng Ren and Yue Zhang. 2016. Deceptive Opinion Spam Detection Using
Neural
Network. In
Proceedings of the 2016 International Conference on Computational Linguistics (Coling),
Osaka, Japan, December.
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Hongshen Chen, Yue Zhang and Qun Liu. 2016. Neural Network for
Heterogeneous
Annotations.
In Proceedings of EMNLP 2016, Austin, Texas, USA, November.
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Zhiyang Teng, Duy Tin Vo and Yue Zhang. 2016. Context-Sensitive
Lexicon
Features for
Neural
Sentiment Analysis. In Proceedings of EMNLP 2016, Austin, Texas, USA, November.
[PDF][BIB]
Fei Dong and Yue Zhang. 2016. Automatic Features for Essay Scoring --
An
Empirical
Study.
In Proceedings of EMNLP 2016, Austin, Texas, USA, November.
[PDF][BIB]
Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang and Daniel
Gildea. 2016. AMR-to-text
generation as a Traveling Salesman Problem. In Proceedings of EMNLP 2016, Austin,
Texas, USA, November.
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Peng Shi, Zhiyang Teng and Yue Zhang. 2016. Exploiting Mutual Benefits
between
Syntax and
Semantic Roles using Neural Network. In Proceedings of EMNLP 2016, Austin, Texas,
USA, November.
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Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, Xinyu Dai and Jiajun
Chen. 2016. A
Search-Based Dynamic Reranking Model for Dependency Parsing. In Proceedings of ACL
2016, Berlin, Germany, Augest.
[PDF][BIB]
Meishan Zhang, Yue Zhang and Guohong Fu. Transition-Based Neural
Word
Segmentation.
In Proceedings of ACL 2016. Berlin, Germany, Augest.
[PDF][BIB]
Duy Tin Vo and Yue Zhang. 2016. Don't Count, Predict! An Automatic
Approach to
Learning
Sentiment Lexicons for Short Text. In Proceedings of ACL 2016. Berlin, Germany,
August.
[PDF][BIB]
Peng Jin, Yue Zhang, Xingyuan Chen and Yunqing Xia. 2016. Bag-of-Embeddings
for Text Classification. In Proceedings of IJCAI 2016, New York City, USA, July.
[PDF][BIB]
Fei Li, Yue Zhang, Meishan Zhang and Donghong Ji. 2016.
Joint Models for Extracting Adverse Drug Events from Biomedical Text.
In Proceedings of IJCAI 2016, New York City, USA, July.
[PDF][BIB]
Ratish Puduppully, Yue Zhang and Manish Shrivastava. 2016.
Transition-Based Syntactic Linearization with Lookahead Features.
In Porceedings of the NAACL 2016, San Diego, USA, June.
[PDF][BIB]
Ching-Yun Chang, Zhiyang Teng and Yue Zhang. 2016.
Expectation-Regulated
Neural
Model for
Event Mention Extraction.
In Porceedings of the NAACL 2016, San Diego, USA, June.
[PDF][BIB][DATA]
Meishan Zhang, Jie Yang, Zhiyang Teng and Yue Zhang. 2016. LibN3L:A
Lightweight
Package for
Neural NLP . In Proceedings of the LREC 2016,Slovenia, May.
[PDF][BIB][CODE]
Jie Yang, Zhiyang Teng, Meishan Zhang, and Yue Zhang. 2016. Combining
Discrete and
Neural Features for Sequence Labeling . In Proceedings of the CICLing 2016, Konya,
Turkey, April
[PDF][BIB]
Meishan Zhang, Yue Zhang and Duy Tin Vo. 2016. Gated Neural Networks for
Targeted
Sentiment
Analysis. In Proceedings of the AAAI 2016, Phoenix, Arizona, USA, February.
[PDF][BIB][CODE]
Yafeng Ren, Yue Zhang, Meishan Zhang and Donghong Ji. 2016. Improving Twitter
Sentiment
Classification Using Topic-Enriched Multi-Prototype Word Embeddings. In Proceedings
of the AAAI 2016, Phoenix, Arizona, USA, February.
[PDF][BIB][CODE]
Yafeng Ren, Yue Zhang, Meishan Zhang and Donghong Ji. 2016. Context-Sensitive
Twitter
Sentiment Classification Using Neural Network. In Proceedings of the AAAI 2016,
Phoenix, Arizona, USA, February.
[PDF][BIB][CODE]
Likun Qiu, Yue Zhang and Meishan Zhang. 2016. Dependency Tree Representations
of
Predicate-Argument Structures. In Proceedings of the AAAI 2016, Phoenix, Arizona,
USA, February.
[PDF][BIB]
Chen Lyu, Yue Zhang and Donghong Ji. 2016. Joint Word Segmentation,
POS-Tagging and
Syntactic
Chunking. In Proceedings of the AAAI 2016, Phoenix, Arizona, USA, February.
[PDF][BIB]
2015
Meishan Zhang, Yue Zhang and Duy Tin Vo. 2015.
Neural Networks for Open Domain
Targeted
Sentiment. In proceedings of EMNLP 2015, Lisboa, Portugal, September.
[PDF][BIB]
Tao Qian, Yue Zhang, Meishan Zhang and Donghong Ji. 2015. A
Transition-based Model
for Joint
Segmentation, POS-tagging and Normalization. In proceedings of EMNLP 2015, Lisboa,
Portugal, September.
[PDF][BIB]
Jiangming Liu and Yue Zhang. 2015. An Empirical Comparison Between N-gram
and
Syntactic
Language Models for Word Ordering. In proceedings of EMNLP 2015, Lisboa, Portugal,
September.
[PDF][BIB]
Likun Qiu, Yue Zhang and Yanan Lu. 2015. Syntactic Dependencies and
Distributed
Word
Representations for Analogy Detection and Mining. In proceedings of EMNLP 2015,
Lisboa, Portugal, September.
[PDF][BIB][DAT]
Meishan Zhang and Yue Zhang. 2015. Combining Discrete and Continuous
Features for
Deterministic Transition-based Dependency Parsing. In proceedings of EMNLP 2015,
Lisboa, Portugal, September.
[PDF][BIB]
Rui Sun, Yue Zhang, Meishan Zhang and Donghong Ji. 2015. Event-Driven
Headline
Generation. In Proceedings of ACL 2015, Beijing, China, July.
[PDF][BIB]
Hao Zhou, Yue Zhang, Shujian Huang and Jiajun Chen. 2015. A Neural
Probabilistic
Structured-Prediction Model for Transition-based Dependency Parsing. In Proceedings
of ACL 2015, Beijing, China, July.
[PDF][BIB]
Xiao Ding, Yue Zhang, Ting Liu and Junwen Duan. 2015. Deep Learning for
Event-Driven Stock
Prediction. In Proceedings of IJCAI 2015, BueNos Aires, Argentina, July.
[PDF][BIB]
Duy-Tin Vo and Yue Zhang. 2015. Target-dependent Twitter Sentiment
Classification
with Rich
Automatic Features. In Proceedings of IJCAI 2015, Buenos Aires, Argentina, July.
[PDF][BIB]
Yijia Liu, Yue Zhang, Wanxiang Che and Bing Qin. 2015.
Transition-Based Syntactic
Linearization. In Proceedings of NAACL 2015, Denver, Colorado, USA, May.
[PDF][BIB]
Likun Qiu and Yue Zhang. 2015. Word Segmentation for Chinese Novels.
In
proceedings of
AAAI 2015, Austin, Texas, USA, January.
[PDF][BIB]
2014
Likun Qiu and Yue Zhang. 2014. ZORE: A Syntax-based System for Chinese
Open
Relation
Extraction. In Proceedings of EMNLP 2014. Doha, Qatar, October.
[PDF][BIB][DAT]
Yijia Liu, Yue Zhang, Wanxiang Che and Ting liu. 2014. Domain
Adaptation for
CRF-based Chinese
Word Segmentation using Free Annotations. In Proceedings of EMNLP 2014. Doha,
Qatar, October.
[PDF][BIB]
Yue Zhang, Kai Song, Linfeng Song, Jingbo Zhu and Qun Liu. 2014. Syntactic
SMT
Using a
Discriminative Text Generation Model. In Proceedings of EMNLP 2014. Doha, Qatar,
October.
[PDF][BIB]
Xiao Ding, Yue Zhang, Ting Liu and Junwen Duan. 2014. Using Structured Events
to
Predict Stock
Price Movement: An Empirical Investigation. In Proceedings of EMNLP 2014. Doha,
Qatar, October.
[PDF][BIB]
Wenliang Chen, Yue Zhang and Min Zhang. 2014. Feature Embeddings for
Dependency
Parsing.
In Proceedings of Coling 2014. Dublin, Ireland, August.
[PDF] [BIB]
Likun Qiu, Yue Zhang, Peng Jin and Houfeng Wang. 2014. Building a
Multi-View
Chinese
Treebank. In Proceedings of Coling 2014. Dublin, Ireland, August.
[PDF] [BIB]
Linfeng Song, Yue Zhang, Kai Song and Qun Liu. 2014. Joint
Morphological Generation
and
Syntactic Linearization. In Proceedings of AAAI 2014. Quebec City, Canada, July.
[PDF] [BIB]
Meishan Zhang, Yue Zhang, Wanxiang Che and Ting Liu. 2014.
Character-Level Chinese
Dependency
Parsing. In Proceedings of ACL 2014, Baltimore, USA, June.
[PDF] [BIB]
Kepa Bengoetxea, Eneko Agirre, Joakim Nivre, Yue Zhang and Koldo Gojenola. 2014.
On
WordNet
Semantic Classes and Dependency Parsing. In Proceedings of ACL 2014, Baltimore,
USA, June.
[PDF] [BIB]
Ji Ma, Yue Zhang and Jingbo Zhu. 2014. Tagging The Web: Building A Robust Web
Tagger with
Neural Network. In Proceedings of ACL 2014, Baltimore, USA, June.
[PDF] [BIB]
Wenduan Xu, Stephen Clark and Yue Zhang. 2014. Shift-Reduce CCG Parsing with
a
Dependency
Model. In Proceedings of ACL 2014, Baltimore, USA, June.
[PDF] [BIB]
Ji Ma, Yue Zhang and Jingbo Zhu. 2014. Punctuation Processing for Projective
Dependency
Parsing. In Proceedings of ACL 2014, Baltimore, USA, June.
[PDF] [BIB]
Meishan Zhang, Yue Zhang, Wanxiang Che and Ting Liu. 2014.
Type-Supervised Domain
Adaptation
for Joint Segmentation and POS-Tagging. In Proceedings of EACL 2014, Gothenburg,
Sweden, April.
[PDF] [BIB]
2013
Wenliang Chen, Min Zhang and Yue Zhang. 2013. Semi-Supervised Feature
Transformation
for
Dependency Parsing. In Proceedings of EMNLP 2013, Seattle, USA, October.
[PDF] [BIB]
Yanxia Qin, Yue Zhang, Min Zhang and Dequan Zheng. 2013. Feature-Rich
Segment-Based
News Event
Detection on Twitter. In proceedings of IJCNLP 2013, Nagoya, Japan, October.
[PDF] [BIB]
Wenduan Xu, Yue Zhang, Philip Williams, and Philipp Koehn. 2013. Learning to
Prune:
Context-Sensitive Pruning for Syntactic MT. In Proceedings of ACL 2013, short
papers, Sophia, Bulgaria, August.
[PDF] [BIB]
Meishan Zhang, Yue Zhang, Wanxiang Che and Ting Liu. 2013. Chinese
Parsing
Exploiting
Characters. In proceedings of ACL 2013, Sophia, Bulgaria. August.
[PDF] [BIB] [DATA]
Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang and Jingbo Zhu. 2013. Fast and
Accurate
Shift-Reduce Constituent Parsing . In proceedings of ACL 2013, Sophia, Bulgaria.
August.
[PDF] [BIB]
Yue Zhang. 2013. Partial-Tree Linearization: Generalized Word Ordering for
Text
Synthesis. In proceedings of IJCAI 2013, Beijing, China, August.
[PDF][BIB]
Junhua Liu, Yue Zhang, Justin Ruths, Diana Moreno, Daniel Jansen and
Kristin L
Wood. 2013.
Innovations in Software Engineering Education: An Experimental Study and Integrating
Active Learning and Design-Based Learning. In proceedings of ASEE 2013, Atlanta,
Geogia, USA, June.
[PDF]
2012
Yang Liu and Yue Zhang. 2012. Unsupervised Domain Adaptation for
Joint Segmentation
and
POS-tagging. In proceedings of COLING 2012, posters, Mumbai, India, December.
[PDF] [BIB] [DATA]
Yue Zhang and Joakim Nivre. 2012. Analyzing the Effect of Global Learning
and
Beam-Search for
Transition-Based Dependency Parsing. In proceedings of COLING 2012, posters.
Mumbai, India, December.
[PDF] [BIB]
Yue Zhang, Graeme Blackwood and Stephen Clark. 2012. Syntax-Based Word Ordering Incorporating a Large-Scale Language Model.
In proceedings of EACL 2012, Avignon, France, April.
[PDF][BIB]
2011
Yue Zhang and Stephen Clark. 2011. Syntax-Based Grammaticality Improvement
Using
CCG and
Guided Search. In proceedings of EMNLP 2011, Edinburgh, UK. July.
[PDF][BIB]
Yue Zhang and Stephen Clark. Shift-Reduce CCG Parsing. In
proceedings of
ACL 2011.
Portland, USA. June.
[PDF][BIB]
Yue Zhang and Joakim Nivre. 2011. Transition-Based Dependency Parsing
with Rich
Non-Local
Features. In proceedings of ACL 2011, short papers, Portland, USA, June.
[PDF][BIB]
2010
Yue Zhang and Stephen Clark. 2010. A Fast Decoder for Joint Word
Segmentation and
POS-tagging
Using a Single Discriminative Model. In proceedings of EMNLP 2010, Massachusetts,
USA, October.
[PDF][BIB]
Yue Zhang, Byung-Gyu Ahn, Stephen Clark, Curt Van Wyk, James R. Curran and
Laura
Rimell. 2010.
Chart Pruning for Fast Lexicalised-Grammar Parsing. In proceedings of COLING 2010,
Beijing, China, August.
[PDF][BIB]
Karo Moilanen, Stephen Pulman and Yue Zhang. 2010. Packed Feelings and
Ordered
Sentiments:
Sentiment Parsing with Quasi-compositional Polarity Sequencing and Compression. In
proceedings of WASSA 2010, Lisbon, Portugal, August.
[PDF][BIB]
before
Yue Zhang and Stephen Clark. 2009. Transition-Based Parsing of the
Chinese Treebank
Using a
Global Discriminative Model. In proceedings of IWPT 2009, Paris, France, October.
[PDF][BIB]
Yue Zhang and Stephen Clark. 2008. A Tale of Two Parsers: Investigating
and
Combining
Graph-Based And transition-Based Dependency Parsing Using Beam-search. In
proceedings of EMNLP 2008, Hawaii, USA, October.
[PDF][BIB]
Yue Zhang and Stephen Clark. 2008. Joint Word Segmentation and POS
Tagging Using a
Single
Perceptron. In proceedings of ACL 2008, Ohio, USA, June.
[PDF][BIB]
Yue Zhang and Stephen Clark. 2008. Chinese Segmentation Using a
Word-Based
Perceptron
Algorithm. In proceedings of ACL 2007, Prague, Czech Republic, June.
[PDF][BIB]
Journal articles:
2024
Peiming Guo, Meishan Zhang, Yulong Chen, Jianling Li, Min Zhang, Yue Zhang. 2024
Cross-domain Constituency Parsing by Leveraging Heterogeneous Data.
In Journal of Artificial Intelligence Research 80 (2024) 1-15.
[PDF][BIB]
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. 2024
A Survey on Evaluation of Large Language Models.
In Transactions on Intelligent Systems and Technology.
[PDF][BIB]
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. 2024.
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
In IEEE Data Engineering.
[PDF][BIB]
2023
Yile Wang, Yue Zhang. 2023
Lost in Context? On the Sense-wise Variance of Contextualized Word Embeddings.
In IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/TASLP.2023.3337643.
[PDF][BIB]
Yile Wang, Yue Zhang, Peng Li, Yang Liu. 2023
Gradual Syntactic Label Replacement for Language Model Pre-training.
In IEEE/ACM Transactions on Audio, Speech, and Language Processing, doi: 10.1109/TASLP.2023.3331096.
[PDF][BIB]
Linfeng Song, Ante Wang, Xiaoman Pan, Hongming Zhang, Dian Yu, Lifeng Jin, Haitao Mi, Jinsong Su, Yue Zhang, Dong Yu. 2023
OpenFact: Factuality Enhanced Open Knowledge Extraction.
In Transactions of the Association for Computational Linguistics (2023) 11: 686–702.
[PDF][BIB]
Hanmeng Liu, Jian Liu, Leyang Cui, Zhiyang Teng, Nan Duan, Ming Zhou, Yue Zhang. 2023
LogiQA 2.0 — An Improved Dataset for Logical Reasoning in Natural Language Understanding.
In IEEE/ACM Transactions on Audio, Speech, and Language Processing, doi: 10.1109/TASLP.2023.3293046.
[PDF][BIB]
Donglin Di, Xianyang Song, Weinan Zhang, Yue Zhang, Fanglin Wang. 2023
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch.
In ACM Transactions on Asian and Low-Resource Language Information Processing. Volume 22, Issue 4, Article No.: 105 pp 1–20
[PDF][BIB]
Guangsheng Bao, Yue Zhang. 2023
A General Contextualized Rewriting Framework for Text Summarization.
In IEEE/ACM Transactions on Audio, Speech and Language Processing.
[PDF][BIB]
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Shrivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard 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, 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, Nicolas Roberts, Juan Diego Rodriguez, Claude Roux, Vasconcellos P. H. S., Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib N. Shamsi, Xudong Shen, Haoyue Shi, Yiwen Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew , Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T, A Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Gloria Wang, Zijie J. Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmański, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang. 2023
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
In Northern European Journal of Language Technology (NEJLT).
[PDF][BIB]
Libo Qin, Xiao Xu, Lehan Wang, Yue Zhang, Wanxiang Che. 2023
Modularized Pre-training for End-to-end Task-oriented Dialogue.
In IEEE/ACM Transactions on Audio, Speech and Language Processing.
[PDF][BIB]
2022
Chaoyi Huang, Wenyang Gao, Yingdie Zheng, Wei Wang, Yue Zhang, and Kai Liu. 2022
Universal machine-learning algorithm for predicting adsorption performance of organic molecules based on limited data set: importance of feature description.
In Science of the Total Environment.
[PDF][BIB]
Chen Jia, Yue Zhang. 2022
Meta‑learning the invariant representation for domain generalization.
In Machine Learning.
[PDF][BIB]
Shenghui Cheng, Yue Zhang, Xiaofei Li, Lin Yang, Xin Yuan, and Stan Z. Li. 2022.
Roadmap toward the metaverse: An AI perspective.
In The Innovation
[PDF][BIB]
Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang. 2022.
SemGloVe: Semantic Co-occurrences for GloVe from BERT.
In IEEE/ACM Transactions on Audio, Speech and Language Processing
[PDF][BIB]
Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu. 2022.
Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization.
In ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 21 Issue 4.
[PDF][BIB]
Fangfang Su, Yue Zhang, Fei Li, Donghong Ji. 2022.
Balancing Precision and Recall for Neural Biomedical Event Extraction.
In IEEE/ACM Transactions on Audio, Speech, and Language Processing
[PDF][BIB]
Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian and Daniel Gildea. 2020.
Evidence Integration for Multi-hop Reading Comprehension with Graph Neural Networks.
In IEEE Transactions on Knowledge and Data Engineering (TKDE).
[PDF][BIB]
2021
Xiao Liu, Heyan Huang and Yue Zhang. 2021.
End-to-end event factuality prediction using directional labeled graph recurrent network.
In Information Processing & Management, Volume 59, Issue 2, March 2022, 102836
[PDF][BIB]
Hao Fei, Yafeng Ren, Yue Zhang, Donghong Ji and Xiaohui Liang. 2021. Enriching contextualized
language model from knowledge graph for biomedical information extraction. Brief Bioinform.
[PDF][BIB]
Hao Fei, Yue Zhang, Yafeng Ren and Donghong Ji. 2021. A span-graph neural model for overlapping
entity relation extraction in biomedical texts. Bioinformatics.
[PDF][BIB]
Hao Fei, Yue Zhang, Yafeng Ren and Donghong Ji. 2021. Optimizing Attention for Sequence Modeling
via Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems
(TNNLS).
[PDF][BIB]
Heyan Huang, Xiao Liu, Yue Zhang and Chong Feng. News-Driven Stock Prediction via Noisy
Equity State Representation. 2021. Neurocomputing.
[PDF][BIB]
Hao Fei, Yafeng Ren, Yue Zhang and Donghong Ji. 2021. Non-Autoregressive Encoder-Decoder Neural
Framework for End-to-End Aspect-Based Sentiment Triplet Extraction. In IEEE Transactions on
Neural Networks and Learning Systems (TNNLS).
[PDF][BIB]
Chuang Fan, Chaofa Yuan, Lin Gui, Yue Zhang and Ruifeng Xu. 2021. Multi-Task Sequence Tagging
for Emotion-Cause Pair Extraction Via Tag Distribution Refinement.
In IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP).
[PDF][BIB]
Yue Zhang. 2021. Book Review for Deep Learning Approaches to Text Production.
In Computational Linguistics.
[PDF][BIB]
Yile Wang, Leyang Cui and Yue Zhang. 2021.
Improving Skip-gram Embeddings Using BERT.
In IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP).
[PDF][BIB]
2020
Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent and Iryna Gurevych. 2020
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
In Transactions of the Association for Computational Linguistics (TACL).
[PDF][BIB]
Leilei Gan and Yue Zhang. 2020.
Investigating Self-Attention Network for Chinese Word Segmentation", In IEEE/ACM
Transactions on Audio, Speech and Language Processing (TASLP).
[PDF][BIB]
Hao Fei, Donghong Ji, Yue Zhang, and Yafeng Ren. 2020.
Topic-enhanced Capsule Network for Multi-label Emotion Classification.
In IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP).
[PDF][BIB]
Yinxia Lou, Yue Zhang, Fei Li, Tao Qian and Donghong Ji. 2020.
Emoji-Based Sentiment Analysis Using Attention Networks.
In IEEE/ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP).
[PDF][BIB]
Yue Zhang, Yile Wang and Jie Yang. 2020.
Lattice LSTM for Chinese Sentence Representation.
In IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP).
[PDF][BIB]
Junchi Zhang, Mengchi Liu and Yue Zhang. 2020.
Topic-informed neural approach for biomedical event extraction.
In Artificial Intelligence in Medicine.
[PDF][BIB]
Kai Song, Xiaoqing Zhou, Heng Yu, Zhongqiang Huang, Yue Zhang, Weihua Luo, Xiangyu Duan and
Min Zhang. 2020.
Towards Better Word Alignment in Transformer.
In IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP).
[PDF][BIB]
2019
Junwen Duan, Xiao Ding, Yue Zhang and Ting Liu. 2019.
TEND: A Target-dependent Representation Learning Framework for News Document.
In IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP).
[PDF][BIB]
Junchi Zhang, Yue Zhang, Donghong Ji and Mengchi Liu. 2019.
Multi-task and multi-view training for end-to-end relation extraction.
In Neurocomputing, July.
[PDF][BIB]
Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang and Jinsong Su. 2019.
Semantic Neural Machine Translation using AMR.
In Transaction of ACL (TACL).
[PDF][BIB]
Frank Z. Xing, Erik Cambria and Yue Zhang. 2019.
Sentiment-aware volatility forecasting.
In the Journal of Knowledge-Based Systems (KNOWL-BASED SYST).
[PDF][BIB]
Hongmin Wang, Jie Yang and Yue Zhang. 2019.
From Genesis to Creole language: Transfer Learning for Singlish Universal Dependencies
Parsing and POS Tagging.
In ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP).
[PDF][BIB]
2018
Meishan Zhang, Yue Zhang and Guohong Fu. 2018.
Transition-Based Neural Word Segmentation Using Word-Level Features.
In the Journal of Artificial Intelligence Research (JAIR).
[PDF][BIB]
Lei Shi, Zhiyang Teng, Le Wang, Yue Zhang and Alexander Binder. 2018.
DeepClue:
Visual
Interpretation of Text-based Deep Stock Prediction.
In IEEE Transactions on Knowledge and Data Engineering (TKDE).
[PDF][BIB]
Yanxia Qin, Yue Zhang, Min Zhang and Dequan Zheng. 2018. Frame-Based
Representation for
Event Detection on Twitter.
In IEICE Transactions on Information and Systems（IEICE T INF SYST).
[PDF][BIB]
2017
Jiangming Liu and Yue Zhang. 2017. In-Order Transition-based
Constituent Parsing.
In Transactions of the Association of Computational Linguistics (TACL).
[PDF][BIB]
Zhiyang Teng and Yue Zhang. 2017. Head-Lexicalized Bidirectional Tree
LSTMs.
In Transactions of the Association of Computational Linguistics (TACL).
[PDF][BIB]
Jiangming Liu and Yue Zhang. 2017. Shift-Reduce Constituent Parsing with
Neural
Lookahead
Features.
In Transactions of the Association of Computational Linguistics (TACL).
[PDF][BIB]
Yinxia Lou, Yue Zhang, Tao Qian, Fei Li, Shufeng Xiong and Donghong
Ji. 2017.
A Transition-based Joint Model For Disease Named Entity Recognition and Normalization.
In Bioinformatics.
[PDF][BIB]
Hao Zhou, Yue Zhang, Chuan Cheng, Shujian Huang, Xinyu Dai and Jiajun
Chen. 2017.
A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language
Processing.
In Journal of Artificial Intelligence Research (JAIR).
[PDF][BIB]
2016
Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang and Jingbo Zhu. 2016.
Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information.
In Journal of Computational Intelligence (CI).
[PDF][BIB]
Hao Zhou, Shujian Huang, Junsheng Zhou, Yue Zhang, Huadong Chen, Xin-Yu
Dai,
Chuan Chen, and
Jiajun Chen. 2016.
Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model.
In ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP),
Volume 15 Issue 3, March, Article No.13.
[PDF][BIB]
2015
Wenliang Chen, Min Zhang, Yue Zhang and Xiangyu Duan. 2015.
Exploiting meta features for dependency parsing and part-of-speech tagging.
In Artificial Intelligence (AI).
[PDF][BIB]
Yue Zhang and Stephen Clark. 2015. Discriminative Syntax-Based Word
Ordering for
Text
Generation.
In Computational Linguistics(CL) 41(3). September. Pages 503–538.
[PDF][BIB]
Wenliang Chen, Min Zhang and Yue Zhang. 2015.
Distributed Feature Representations for Dependency Parsing.
In IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 23(3). March.
Pages 451–460.
[PDF][BIB]
2011
Yue Zhang and Stephen Clark. 2011. Syntactic Processing Using the
Generalized
Perceptron and
Beam Search.
In Computational Linguistics（CL）37(1). March. Pages 105 – 151.
[PDF][BIB]
Books and Book Chapters:
2021
Yue Zhang and Zhiyang Teng. 2021. Natural Language
Processing: A Machine Learning Perspective. Cambridge Univeristy Press.
[PDF][BIB]
2019
Litton J. Kurisinkel, Yue Zhang and Vasudeva Varma. 2019. Domain Adaptive
Neural
Sentence
Compression by Tree Cutting.
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11437).
[PDF][BIB]
2018
Wanxiang Che and Yue Zhang. 2018. Deep Learning in Lexical Analysis and Parsing.
In: Deng L., Liu Y. (eds) Deep Learning in Natural Language Processing (pp 79-116).
Springer, Singapore.
[PDF][BIB]
2015
Yue Zhang. 2015. An Introduction to Python and Computer Programming.
Lecture Notes in Electrical Engineering. Springer.
[PDF][BIB]
