Before entering the neural network, a token is generally converted to th...
Contrastive learning has been proven suitable for learning sentence
embe...
Contrastive learning has been attracting much attention for learning
uns...
Contrastive learning has been gradually applied to learn high-quality
un...
Withthegrowthofknowledgegraphs, entity descriptions are becoming extreme...
While several state-of-the-art approaches to dialogue state tracking (DS...
This paper focuses on the task of generating long structured sentences w...
This paper focuses on the task of sentiment transfer on non-parallel tex...
We propose a novel data augmentation method for labeled sentences called...