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This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation

机译:此电子邮件可以挽救您的生命:介绍电子邮件主题行生成的任务

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Given the overwhelming number of emails, an effective subject line becomes essential to better inform the recipient of the email's content. In this paper, we propose and study the task of email subject line generation: automatically generating an email subject line from the email body. We create the first dataset for this task and find that email subject line generation favor extremely abstractive summary which differentiates it from news headline generation or news single document summarization. We then develop a novel deep learning method and compare it to several baselines as well as recent state-of-the-art text summarization systems. We also investigate the efficacy of several automatic metrics based on correlations with human judgments and propose a new automatic evaluation metric. Our system outperforms competitive baselines given both automatic and human evaluations. To our knowledge, this is the first work to tackle the problem of effective email subject line generation.
机译:鉴于电子邮件数量众多,有效的主题行对于更好地通知收件人电子邮件内容至关重要。在本文中,我们提出并研究了电子邮件主题行生成的任务:从电子邮件正文自动生成电子邮件主题行。我们为该任务创建了第一个数据集,并发现电子邮件主题行的生成支持极其抽象的摘要,从而使其与新闻标题生成或新闻单文档摘要有所区别。然后,我们开发一种新颖的深度学习方法,并将其与多个基线以及最新的文本摘要系统进行比较。我们还研究了基于与人类判断的相关性的几个自动指标的功效,并提出了一种新的自动评估指标。在自动评估和人工评估的情况下,我们的系统均优于竞争基准。就我们所知,这是解决有效电子邮件主题行生成问题的第一项工作。

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