Smart To-Do: Automatic Generation of To-Do Items from Emails
Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah, Ryen White
Abstract
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.- Anthology ID:
- 2020.acl-main.767
- Volume:
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Editors:
- Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 8680–8689
- Language:
- URL:
- https://aclanthology.org/2020.acl-main.767
- DOI:
- 10.18653/v1/2020.acl-main.767
- Cite (ACL):
- Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah, and Ryen White. 2020. Smart To-Do: Automatic Generation of To-Do Items from Emails. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8680–8689, Online. Association for Computational Linguistics.
- Cite (Informal):
- Smart To-Do: Automatic Generation of To-Do Items from Emails (Mukherjee et al., ACL 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2020.acl-main.767.pdf