Before revision:  CGA is able to generate natural sentences with multiple controlled attributes by combining adversarial learning with a context-aware loss .
After revision:  CGA is able to generate natural sentences with multiple controlled attributes by combining adversarial learning with a context-aware loss and a cyclical word dropout routine. We demonstrate the value of the individual model components in an ablation study.