@inproceedings{rameshkumar-etal-2018-assigning,
title = "Assigning people to tasks identified in email: The {EPA} dataset for addressee tagging for detected task intent",
author = "Rameshkumar, Revanth and
Bailey, Peter and
Jha, Abhishek and
Quirk, Chris",
editor = "Xu, Wei and
Ritter, Alan and
Baldwin, Tim and
Rahimi, Afshin",
booktitle = "Proceedings of the 2018 {EMNLP} Workshop W-{NUT}: The 4th Workshop on Noisy User-generated Text",
month = nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6104/",
doi = "10.18653/v1/W18-6104",
pages = "28--32",
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 na{\"i}ve 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.}
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<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.</abstract>
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%0 Conference Proceedings
%T Assigning people to tasks identified in email: The EPA dataset for addressee tagging for detected task intent
%A Rameshkumar, Revanth
%A Bailey, Peter
%A Jha, Abhishek
%A Quirk, Chris
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F rameshkumar-etal-2018-assigning
%X 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.
%R 10.18653/v1/W18-6104
%U https://aclanthology.org/W18-6104/
%U https://doi.org/10.18653/v1/W18-6104
%P 28-32
Markdown (Informal)
[Assigning people to tasks identified in email: The EPA dataset for addressee tagging for detected task intent](https://aclanthology.org/W18-6104/) (Rameshkumar et al., WNUT 2018)
ACL