Building a Dataset for Summarization and Keyword Extraction from Emails

Vanessa Loza, Shibamouli Lahiri, Rada Mihalcea, Po-Hsiang Lai


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.
Anthology ID:
L14-1028
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2441–2446
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1037_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Vanessa Loza, Shibamouli Lahiri, Rada Mihalcea, and Po-Hsiang Lai. 2014. Building a Dataset for Summarization and Keyword Extraction from Emails. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2441–2446, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Building a Dataset for Summarization and Keyword Extraction from Emails (Loza et al., LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1037_Paper.pdf