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cs.CL2021
ConRPG: Paraphrase Generation using Contexts as Regularizer
Yuxian Meng, Xiang Ao, Qing He +5
A long-standing issue with paraphrase generation is how to obtain reliable supervision signals. In this paper, we propose an unsupervised paradigm for paraphrase generation based o…
cs.CL2021★ 49 cited
BertGCN: Transductive Text Classification by Combining GCN and BERT
Yuxiao Lin, Yuxian Meng, Xiaofei Sun +4
In this work, we propose BertGCN, a model that combines large scale pretraining and transductive learning for text classification. BertGCN constructs a heterogeneous graph over the…