Before revision:  In addition, we utilize the question-answer discourse relation to construct a pseudo-summarization corpus , which can be used to pre-train our model . Experimental results on the AMI dataset show that our model outperforms various baselines and can achieve state-of-the-art performance.
After revision:  In addition, we utilize the question-answer discourse relation to construct a pseudo-summarization corpus , which can be used to pre-train our model . Experimental results on the AMI dataset show that our full system can achieve SOTA performance. Our codes will be available at: URL