@inproceedings{loza-etal-2014-building,
    title = "Building a Dataset for Summarization and Keyword Extraction from Emails",
    author = "Loza, Vanessa  and
      Lahiri, Shibamouli  and
      Mihalcea, Rada  and
      Lai, Po-Hsiang",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Loftsson, Hrafn  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
    month = may,
    year = "2014",
    address = "Reykjavik, Iceland",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L14-1028/",
    pages = "2441--2446",
    abstract = "This paper introduces a new email dataset, consisting of both single and thread emails, manually annotated with summaries and keywords. A total of 349 emails and threads have been annotated. The dataset is our first step toward developing automatic methods for summarization and keyword extraction from emails. We describe the email corpus, along with the annotation interface, annotator guidelines, and agreement studies."
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%0 Conference Proceedings
%T Building a Dataset for Summarization and Keyword Extraction from Emails
%A Loza, Vanessa
%A Lahiri, Shibamouli
%A Mihalcea, Rada
%A Lai, Po-Hsiang
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F loza-etal-2014-building
%X This paper introduces a new email dataset, consisting of both single and thread emails, manually annotated with summaries and keywords. A total of 349 emails and threads have been annotated. The dataset is our first step toward developing automatic methods for summarization and keyword extraction from emails. We describe the email corpus, along with the annotation interface, annotator guidelines, and agreement studies.
%U https://aclanthology.org/L14-1028/
%P 2441-2446
Markdown (Informal)
[Building a Dataset for Summarization and Keyword Extraction from Emails](https://aclanthology.org/L14-1028/) (Loza et al., LREC 2014)
ACL