Assigning people to tasks identified in email: The EPA dataset for addressee tagging for detected task intent

Revanth Rameshkumar, Peter Bailey, Abhishek Jha, Chris Quirk


Abstract
We describe the Enron People Assignment (EPA) dataset, in which tasks that are described in emails are associated with the person(s) responsible for carrying out these tasks. We identify tasks and the responsible people in the Enron email dataset. We define evaluation methods for this challenge and report scores for our model and naïve baselines. The resulting model enables a user experience operating within a commercial email service: given a person and a task, it determines if the person should be notified of the task.
Anthology ID:
W18-6104
Volume:
Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text
Month:
November
Year:
2018
Address:
Brussels, Belgium
Venues:
EMNLP | WNUT | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
28–32
Language:
URL:
https://aclanthology.org/W18-6104
DOI:
10.18653/v1/W18-6104
Bibkey:
Cite (ACL):
Revanth Rameshkumar, Peter Bailey, Abhishek Jha, and Chris Quirk. 2018. Assigning people to tasks identified in email: The EPA dataset for addressee tagging for detected task intent. In Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text, pages 28–32, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
Assigning people to tasks identified in email: The EPA dataset for addressee tagging for detected task intent (Rameshkumar et al., 2018)
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PDF:
https://aclanthology.org/W18-6104.pdf