arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.06282cs.CLcs.AIcs.LG
收藏

智能待办事项:从电子邮件自动生成待办事项

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

University of Washington, Seattle(华盛顿大学(西雅图));Microsoft Research AI(微软研究院AI)

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

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、撰写电子邮件和响应未决任务来提高工作效率。在这项工作中,我们探索了一个新的应用程序,智能做,帮助用户通过电子邮件进行任务管理。我们引入了一个新的任务和数据集,用于从发件人承诺执行操作的电子邮件中自动生成待办事项。我们设计了一个两阶段的过程,利用神经文本生成和序列到序列学习的最新进展,获得了0:23和0:63的BLEU和ROUGE分数。据我们所知,这是解决从电子邮件中撰写待办事项问题的第一项工作。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑