2021
CAPE: Context-Aware Private Embeddings for Private Language Learning
EMNLP 2021main
Neural language models have contributed to state-of-the-art results in a number of downstream applications including sentiment analysis, intent classification and others. However, obtaining text representations or embeddings using these models risks encoding personally identifiable information learn…