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

arXiv: https://arxiv.org/abs/2005.06282 · HTML: https://mlsanity.com/paper/2005.06282/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 May 2020.

## Built on by (most cited first, 5 of 5)

- [A Survey on Dialogue Summarization: Recent Advances and New Frontiers](https://mlsanity.com/paper/2107.03175/) (2021)
- [MAILEX: Email Event and Argument Extraction](https://mlsanity.com/paper/2305.13469/) (2023)
- [Meeting Summarization: A Survey of the State of the Art](https://mlsanity.com/paper/2212.08206/) (2022)
- [Adapting Task-Oriented Dialogue Models for Email Conversations](https://mlsanity.com/paper/2208.09439/) (2022)
- [Russian-Language Multimodal Dataset for Automatic Summarization of Scientific Papers](https://mlsanity.com/paper/2405.07886/) (2024)

## Abstract (arXiv)

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.