Title |
Building a Dataset for Summarization and Keyword Extraction from Emails |
Authors |
Vanessa Loza, Shibamouli Lahiri, Rada Mihalcea and 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. |
Topics |
Summarisation |
Full paper |
Building a Dataset for Summarization and Keyword Extraction from Emails |
Bibtex |
@InProceedings{LOZA14.1037,
author = {Vanessa Loza and Shibamouli Lahiri and Rada Mihalcea and Po-Hsiang Lai}, title = {Building a Dataset for Summarization and Keyword Extraction from Emails}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |