@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 = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1037_Paper.pdf",
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 http://www.lrec-conf.org/proceedings/lrec2014/pdf/1037_Paper.pdf
%P 2441-2446
Markdown (Informal)
[Building a Dataset for Summarization and Keyword Extraction from Emails](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1037_Paper.pdf) (Loza et al., LREC 2014)
ACL