Search Results for author: Wenqing Yao

Found 4 papers, 2 papers with code

GCPG: A General Framework for Controllable Paraphrase Generation

no code implementations Findings (ACL) 2022 Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Haibo Zhang, Xue Zhao, Wenqing Yao, Boxing Chen

Under GCPG, we reconstruct commonly adopted lexical condition (i. e., Keywords) and syntactical conditions (i. e., Part-Of-Speech sequence, Constituent Tree, Masked Template and Sentential Exemplar) and study the combination of the two types.

Paraphrase Generation Sentence

DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation

1 code implementation19 Jul 2022 Kailiang Zhong, Fengtong Xiao, Yan Ren, Yaorong Liang, Wenqing Yao, Xiaofeng Yang, Ling Cen

Our method jointly learns the treatment and response functions in the entire sample space to avoid treatment bias and employs an intermediate pseudo treatment effect prediction network to relieve sample imbalance.

Causal Inference Multi-Task Learning

KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation

1 code implementation15 Dec 2021 Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su

Generative commonsense reasoning requires machines to generate sentences describing an everyday scenario given several concepts, which has attracted much attention recently.

Retrieval Sentence

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