@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",
    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.},
}