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cs.CL2021
SASICM A Multi-Task Benchmark For Subtext Recognition
Hua Yan, Feng Han, Junyi An +3
Subtext is a kind of deep semantics which can be acquired after one or more rounds of expression transformation. As a popular way of expressing one's intentions, it is well worth s…
cs.CL2020
Temporal Convolutional Attention-based Network For Sequence Modeling
Hongyan Hao, Yan Wang, Siqiao Xue +3
With the development of feed-forward models, the default model for sequence modeling has gradually evolved to replace recurrent networks. Many powerful feed-forward models based on…