Smart To-Do : Automatic Generation of To-Do Items from Emails
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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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 May 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 1.
5 papers.
- 2021A Survey on Dialogue Summarization: Recent Advances and New Frontierscited by 51
- 2023MAILEX: Email Event and Argument Extractioncited by 5
- 2022Meeting Summarization: A Survey of the State of the Artcited by 3
- 2022Adapting Task-Oriented Dialogue Models for Email Conversationscited by 1
- 2024Russian-Language Multimodal Dataset for Automatic Summarization of Scientific Paperscited by 1
- 2024Russian-Language Multimodal Dataset for Automatic Summarization of Scientific Papers13 May 2024
- 2023MAILEX: Email Event and Argument Extraction22 May 2023
- 2022Meeting Summarization: A Survey of the State of the Art16 Dec 2022
- 2022Adapting Task-Oriented Dialogue Models for Email Conversations19 Aug 2022
- 2021A Survey on Dialogue Summarization: Recent Advances and New Frontiers7 Jul 2021