2022
VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding
EMNLP 2022finding
Pre-trained language models have been widely applied to standard benchmarks. Due to the flexibility of natural language, the available resources in a certain domain can be restricted to support obtaining precise representation. To address this issue, we propose a novel Transformer-based language mod…