@inproceedings{saggion-2014-creating,
title = "Creating Summarization Systems with {SUMMA}",
author = "Saggion, Horacio",
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/1102_Paper.pdf",
pages = "4157--4163",
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.",
}
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%0 Conference Proceedings
%T Creating Summarization Systems with SUMMA
%A Saggion, Horacio
%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 saggion-2014-creating
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1102_Paper.pdf
%P 4157-4163
Markdown (Informal)
[Creating Summarization Systems with SUMMA](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1102_Paper.pdf) (Saggion, LREC 2014)
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).