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.
Cite
@article{arxiv.2005.06282,
title = {Smart To-Do : Automatic Generation of To-Do Items from Emails},
author = {Sudipto Mukherjee and Subhabrata Mukherjee and Marcello Hasegawa and Ahmed Hassan Awadallah and Ryen White},
journal= {arXiv preprint arXiv:2005.06282},
year = {2020}
}
Comments
58th annual meeting of the Association for Computational Linguistics (ACL), 2020