Before revision:  While most of the research in Machine Reading Comprehension (MRC) revolves around single-turn question answering  , multi-turn CMC has recently gained prominence, thanks to the advancement in natural language understanding via neural language models like BERT and the introduction of large-scale conversational datasets like CoQA and QuAC.
After revision:  While most of the research in Machine Reading Comprehension (MRC) revolves around single-turn question answering (QA) , multi-turn CMC has recently gained prominence, thanks to the advancement in natural language understanding via neural language models like BERT and the introduction of large-scale conversational datasets like CoQA and QuAC.