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Explanations are central to everyday life, and are a topic of growing interest in the AI community. To investigate the process of providing natural language explanations, we leverage the dynamics of the /r/ChangeMyView subreddit to build a dataset with 36K naturally occurring explanations of why an argument is persuasive. We propose a novel word-level prediction task to investigate how explanations selectively reuse, or echo, information from what is being explained (henceforth, explanandum).doi:10.18653/v1/d19-1289 dblp:conf/emnlp/AtkinsonST19 fatcat:oim2vczclvdkldw5gkckva5szq