Yue Zhang

Phone: +65 64994516
Fax: +65 67705161
Email: yue_zhang@sutd.edu.sg

Conference proceedings:

2016

  • Ching-Yun Chang, Yue Zhang, Zhiyang Teng, Zahn Bozanic, Bin Ke. Measuring the Information Content of Financial News. In Proceedings of the 2016 International Conference on Computational Linguistics (Coling). Osaka, Japan, December. [PDF] [BIB]
  • Shufeng Xiong, Yue Zhang, Donghong JI and Yinxia Lou. Distance Metric Learning for Aspect Phrase Grouping. In Proceedings of the 2016 International Conference on Computational Linguistics (Coling). Osaka, Japan, December. [PDF] [BIB]
  • Meishan Zhang, Yue Zhang and Guohong Fu. 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, Junwen Duan.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, Guodong Zhou. A Bilingual Attention Network for Code-switched Emotion Prediction. In Proceedings of the 2016 International Conference on Computational Linguistics (Coling). Osaka, Japan, December. [PDF] [BIB]
  • Yafeng Ren and Yue Zhang. Deceptive Opinion Spam Detection Using Neural Network. In Proceedings of the 2016 International Conference on Computational Linguistics (Coling). Osaka, Japan, December. [PDF] [BIB]
  • Hongshen Chen, Yue Zhang and Qun Liu.Neural Network for Heterogeneous Annotations. In Proceeddings of EMNLP 2016. Austin, Texas, USA, November. [PDF] [BIB]
  • Zhiyang Teng, Duy Tin Vo and Yue Zhang.Context-Sensitive Lexicon Features for Neural Sentiment Analysis. In Proceeddings of EMNLP 2016. Austin, Texas, USA, November. [PDF] [BIB]
  • Fei Dong and Yue Zhang.Automatic Features for Essay Scoring -- An Empirical Study. In Proceeddings of EMNLP 2016. Austin, Texas, USA, November. [PDF] [BIB]
  • Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang and Daniel Gildea.AMR-to-text generation as a Traveling Salesman Problem. In Proceeddings of EMNLP 2016. Austin, Texas, USA, November. [PDF] [BIB]
  • Peng Shi, Zhiyang Teng and Yue Zhang.Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network. In Proceeddings of EMNLP 2016. Austin, Texas, USA, November. [PDF] [BIB]
  • Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, Xinyu Dai and Jiajun Chen.A Search-Based Dynamic Reranking Model for Dependency Parsing. In Proceddings of ACL 2016. Berlin, Germany, Augest. [PDF] [BIB]
  • Meishan Zhang, Yue Zhang and Guohong Fu.Transition-Based Neural Word Segmentation. In Proceddings of ACL 2016. Berlin, Germany, Augest. [PDF] [BIB]
  • Duy Tin Vo and Yue Zhang.Don't Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text. In Proceddings of ACL 2016. Berlin, Germany, Augest. [PDF] [BIB]
  • Peng Jin, Yue Zhang, Xingyuan Chen and Yunqing Xia.Bag-of-Embeddings for Text Classification. In Proceddings of IJCAI 2016. New York City, USA, July. [PDF] [BIB]
  • Fei Li, Yue Zhang, Meishan Zhang and Donghong Ji. Joint Models for Extracting Adverse Drug Events from Biomedical Text. In Proceddings of IJCAI 2016. New York City, USA, July. [PDF] [BIB]
  • Ratish Puduppully, Yue Zhang and Manish Shrivastava. 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. 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. LibN3L:A Lightweight Package for Neural NLP . In Proceedings of the LREC 2016,Slovenia, May. [PDF] [BIB] [CODE]
  • Meishan Zhang, Yue Zhang and Duy Tin Vo. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Event-Driven Headline Generation. In Proceedings of ACL 2015, Beijing, China, July. [PDF] [BIB]
  • Hao Zhou, Yue Zhang, Shujian Huang and Jiajun Chen. 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. Deep Learning for Event-Driven Stock Prediction. In Proceedings of IJCAI 2015, BueNos Aires, Argentina, July. [PDF] [BIB]
  • Duy-Tin Vo and Yue Zhang. 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. Transition-Based Syntactic Linearization. In Proceedings of NAACL 2015, Denver, Colorado, USA, May. [PDF] [BIB]
  • Likun Qiu and Yue Zhang. Word Segmentation for Chinese Novels. In proceedings of AAAI 2015, Austin, Texas, USA, January. [PDF] [BIB]
  • Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan. Exploiting meta features for dependency parsing and part-of-speech tagging. In Artificial Intelligence.
  • Yue Zhang and Stephen Clark. Syntax-based word ordering using learning-guided search. In Computational Linguistics 41(3), 2015.
  • Wenliang Chen, Min Zhang and Yue Zhang. Distributed Feature Representations for Dependency Parsing. In IEEE/ACM Transactions on Audio, Speech and Language Processing 23(3), March. [PDF] [BIB]
  • Yue Zhang. An Introduction to Python and Computer Programming. Lecture Notes in Electrical Engineering. Springer-Verlag Singapur. [LINK]

2014

  • Likun Qiu and Yue Zhang. 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. 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. 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. 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. Feature Embeddings for Dependency Parsing. In Proceedings of Coling 2014. Dublin, Ireland, August. [PDF] [BIB]
  • Likun Qiu, Yue Zhang, Peng Jin and Houfeng Wang. 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. 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. 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. On WordNet Semantic Classes and Dependency Parsing. In Proceedings of ACL 2014. Baltimore, USA, June. [PDF] [BIB]
  • Ji Ma, Yue Zhang and Jingbo Zhu. 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. 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. 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. Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging. In Proceedings of EACL 2013. Gothenburg, Sweden, April. [PDF] [BIB]

2013

  • Wenliang Chen; Min Zhang; Yue Zhang. Semi-Supervised Feature Transformation for Dependency Parsing. In Proceedings of EMNLP 2013. Seattle, USA, October. [PDF] [BIB]
  • Yanxia Qin; Yue Zhang; Min Zhang; Dequan Zheng. Feature-Rich Segment-Based News Event Detection onTwitter. In proceedings of IJCNLP 2013. Nagoya, Japan, October. [PDF] [BIB]
  • Wenduan Xu, Yue Zhang, Philip Williams, and Philipp Koehn. 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. 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. Fast and Accurate Shift-Reduce Constituent Parsing. In proceedings of ACL 2013. Sophia, Bulgaria. August. [PDF] [BIB]
  • Yue Zhang. 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. 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. 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. 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. 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. 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. Transition-Based Dependency Parsing with Rich Non-Local Features. In proceedings of ACL 2011, short papers. Portland, USA. June. [PDF] [BIB]
  • Yue Zhang and Stephen Clark. 2011. Syntactic Processing Using the Generalized Perceptron and Beam Search. In Computational Linguistics, 37(1), March. [PDF] [BIB]

2010

  • Yue Zhang and Stephen Clark. 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. Chart Pruning for Fast Lexicalised-Grammar Parsing. In proceedings of COLING 2010. Beijing, China. August. [PDF] [BIB]
  • Karo Moilanen, Stephen Pulman and Yue Zhang. 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. 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. 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. 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. Chinese Segmentation Using a Word-Based Perceptron Algorithm. In proceedings of ACL 2007. Prague, Czech Republic. June. [PDF] [BIB]

Books:

2015

  • Yue Zhang. An Introduction to Python and Computer Programming. Lecture Notes in Elec- trical Engineering. Springer.[PDF]


Journal articles:

2016

  • Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang and Jingbo Zhu. 2016. Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. In Computational Intelligence Journal.
  • Hao Zhou, Shujian Huang, Junsheng Zhou, Yue Zhang, Huadong Chen, Xin-Yu Dai, Chuan Chen, and Jiajun Chen. Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model. 2016. In ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 15 Issue 3, March, Article No.13.Hao Zhou, Shujian Huang, Junsheng Zhou, Yue Zhang, Huadong Chen, Xin-Yu Dai, Chuan Chen, and Jiajun Chen. Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model. 2016. In ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 15 Issue 3, March, Article No.13.

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 .
  • Yue Zhang and Stephen Clark. 2015. Syntax-based word ordering using learning-guided search. In Computational Linguistics 41(3). September. Pages 503 – 538.
  • Wenliang Chen, Min Zhang, and Yue Zhang. 2015. Distributed Feature Representations for Depen- dency Parsing. In IEEE/ACM Transactions on Audio, Speech and Language Processing 23(3). March. Pages 451–460.

2011

  • Yue Zhang and Stephen Clark. 2011. Syntactic Processing Using the Generalized Perceptron and Beam Search. In Computational Linguistics 37(1). March. Pages 105 – 151.