A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning. - Mingtong Liu; Erguang Yang; Deyi Xiong; Yujie Zhang; Yao Meng; Changjian Hu; Jinan Xu; Yufeng Chen 005 (COLING, 2020)

Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation. - Mingtong Liu; Erguang Yang; Deyi Xiong; Yujie Zhang; Chen Sheng; Changjian Hu; Jinan Xu; Yufeng Chen 005 (IJCAI, 2020)

Improving Entity Linking by Encoding Type Information into Entity Embeddings. - Tianran Li; Erguang Yang; Yujie Zhang; Jinan Xu; Yufeng Chen 005 (CCL, 2021)

Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data. - Erguang Yang; Mingtong Liu; Deyi Xiong; Yujie Zhang; Yao Meng; Changjian Hu; Jinan Xu; Yufeng Chen 005 (EMNLP (1), 2021)

Explore Coarse-Grained Structures for Syntactically Controllable Paraphrase Generation. - Erguang Yang; Mingtong Liu; Deyi Xiong; Yujie Zhang; Yao Meng; Changjian Hu; Jinan Xu; Yufeng Chen 005 (NLPCC (1), 2021)

Long Text Generation with Topic-aware Discrete Latent Variable Model. - Erguang Yang; Mingtong Liu; Deyi Xiong; Yujie Zhang; Yufeng Chen 005; Jinan Xu (EMNLP, 2022)

Learning Structural Information for Syntax-Controlled Paraphrase Generation. - Erguang Yang; Chenglin Bai; Deyi Xiong; Yujie Zhang; Yao Meng; Jinan Xu; Yufeng Chen 005 (NAACL-HLT (Findings), 2022)

Improving generation diversity via syntax-controlled paraphrasing. - Erguang Yang; Mingtong Liu; Deyi Xiong; Yujie Zhang; Yao Meng; Jinan Xu; Yufeng Chen 005 (Neurocomputing, 2022)