A Supervised Approach To The Interpretation Of Imperative To-Do Lists
June 20, 2018 ยท Entered Twilight ยท ๐ arXiv.org
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Authors
Paul Landes, Barbara Di Eugenio
arXiv ID
1806.07999
Category
cs.CL: Computation & Language
Citations
2
Venue
arXiv.org
Repository
https://github.com/plandes/todo-task/
โญ 12
Last Checked
2 months ago
Abstract
To-do lists are a popular medium for personal information management. As to-do tasks are increasingly tracked in electronic form with mobile and desktop organizers, so does the potential for software support for the corresponding tasks by means of intelligent agents. While there has been work in the area of personal assistants for to-do tasks, no work has focused on classifying user intention and information extraction as we do. We show that our methods perform well across two corpora that span sub-domains, one of which we released.
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