Xiaobao Wu

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning

2022

To overcome the data sparsity issue in short text topic modeling, existing methods commonly rely on data augmentation or the data characteristic of short texts to introduce more word co-occurrence information. However, most of them …