Multi-Predicate Semantic Role Labeling. - Haitong Yang; Chengqing Zong (EMNLP, 2014)

A Global Generative Model for Chinese Semantic Role Labeling. - Haitong Yang; Chengqing Zong (NLPCC, 2014)

Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks. - Haitong Yang; Tao Zhuang; Chengqing Zong (Trans. Assoc. Comput. Linguistics, 2015)

Sentiment Classification of Social Media Text Considering User Attributes. - Junjie Li; Haitong Yang; Chengqing Zong (NLPCC/ICCPOL, 2016)

Learning Generalized Features for Semantic Role Labeling. - Haitong Yang; Chengqing Zong (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016)

Bilingual Semantic Role Labeling Inference via Dual Decomposition. - Haitong Yang; Yu Zhou 001; Chengqing Zong (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016)

Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings. - Junjie Li; Haitong Yang; Chengqing Zong (COLING, 2018)

Adversarial Domain Adaptation Network for Semantic Role Classification. - Haitong Yang; Guangyou Zhou; Tingting He 003; Maoxi Li (IEICE Trans. Inf. Syst., 2019)

Incorporating Multi-Level User Preference into Document-Level Sentiment Classification. - Junjie Li; Haoran Li 001; Xiaomian Kang; Haitong Yang; Chengqing Zong (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019)

A Global Deep Reranking Model for Semantic Role Classification. - Haitong Yang; Guangyou Zhou; Tingting He 003; Maoxi Li (IEICE Trans. Inf. Syst., 2021)

Generating Factoid Questions with Question Type Enhanced Representation and Attention-based Copy Mechanism. - Yue Hu; Haitong Yang; Guangyou Zhou; Jimmy Xiangji Huang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Adversarial Separation Network for Text Style Transfer. - Haitong Yang; Guangyou Zhou; Tingting He 003 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Accelerating Semi-Supervised Text Classification by K-Way Projecting Networks. - Qiyuan Chen 003; Haitong Yang; Pai Peng; Le Li (IEEE Access, 2023)