论文标题

智能待办事项:从电子邮件中自动生成待办事项项目

Smart To-Do : Automatic Generation of To-Do Items from Emails

论文作者

Mukherjee, Sudipto, Mukherjee, Subhabrata, Hasegawa, Marcello, Awadallah, Ahmed Hassan, White, Ryen

论文摘要

电子邮件服务应用程序中的智能功能旨在通过帮助人们组织文件夹,撰写电子邮件并响应未决的任务来提高生产率。在这项工作中,我们探索了一个新的应用程序,即智能操作,该应用程序可以帮助用户通过电子邮件进行任务管理。我们介绍了一个新任务和数据集,以自动从发送者承诺执行操作的电子邮件中自动生成待办事项项目。我们设计了一个两阶段的过程,利用了神经文本生成和序列学习的最新进展,以获得0:23和0:63的BLEU和ROUGE分数。据我们所知,这是解决电子邮件中撰写待办事项项目的第一项工作。

Intelligent features in email service applications aim to increase productivity by helping people organize their folders, compose their emails and respond to pending tasks. In this work, we explore a new application, Smart-To-Do, that helps users with task management over emails. We introduce a new task and dataset for automatically generating To-Do items from emails where the sender has promised to perform an action. We design a two-stage process leveraging recent advances in neural text generation and sequence-to-sequence learning, obtaining BLEU and ROUGE scores of 0:23 and 0:63 for this task. To the best of our knowledge, this is the first work to address the problem of composing To-Do items from emails.

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