Before revision:  In this context we propose CoRT, a framework and neural first-stage ranking model that leverages contextual representations from transformer-based language models to complement candidates from term-based ranking functions while causing no significant delay  .
After revision:  In this context we propose CoRT, a framework and neural first-stage ranking model that leverages contextual representations from pretrained language models such as BERT to complement term-based ranking functions while causing no significant delay .