Creating Summarization Systems with SUMMA

Horacio Saggion


Abstract
Automatic text summarization, the reduction of a text to its essential content is fundamental for an on-line information society. Although many summarization algorithms exist, there are few tools or infrastructures providing capabilities for developing summarization applications. This paper presents a new version of SUMMA, a text summarization toolkit for the development of adaptive summarization applications. SUMMA includes algorithms for computation of various sentence relevance features and functionality for single and multidocument summarization in various languages. It also offers methods for content-based evaluation of summaries.
Anthology ID:
L14-1077
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:
4157–4163
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1102_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Horacio Saggion. 2014. Creating Summarization Systems with SUMMA. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4157–4163, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Creating Summarization Systems with SUMMA (Saggion, LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1102_Paper.pdf