Synonyms
Automatic abstracting; Distillation; Report writing; Text/document summarization
Definition
Summarization systems generate condensed outputs that convey important information contained in one or more sources for particular users and tasks. In principle, input sources and system outputs are not limited to text (e.g., key frame extraction for video summarization), but this entry focuses exclusively on generating textual summaries from textual sources.
Historical Background
Summarization has a long history dating back to the 1960s, when researchers first started developing computer systems that processed natural language [6, 12]. Following a number of decades with comparatively few publications, summarization research entered a new phase in the 1990s. A revival of interest was spurred by the growing availability of text in electronic formats and later the World Wide Web. The enormous quantities of information people come into contact with on a daily basis created a need for...
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsRecommended Reading
Barzilay R, Elhadad M. Using lexical chains for text summarization. In: Proceedings of the ACL/EACL Workshop on Intelligent Scalable Text Summarization; 1997.
Barzilay R, Lee L. Catching the drift: probabilistic content models, with applications to generation and summarization. In: Proceedings of the 2004 Human Language Technology Conference; 2004. p. 113–20.
Barzilay R, McKeown KR. Sentence fusion for multidocument news summarization. Comput Linguist. 2005;31(3):297–327.
Document understanding conferences. http://duc.nist.gov/.
Dorr BJ, Monz C, President S, Schwartz R, Zajic D. A methodology for extrinsic evaluation of text summarization: does ROUGE correlate? In: Proceedings of the ACL 2005 Workshop on Intrinsic and Extrinsic Evaluation Measures for MT and/or Summarization; 2005.
Edmundson HP. New methods in automatic extracting. J ACM. 1969;16(2):264–85.
Goldstein J, Mittal V, Carbonell J, Callan J. Creating and evaluating multi-document sentence extract summaries. In: Proceedings of the 9th International Conference on Information and Knowledge Management; 2000. p. 165–72.
Hatzivassiloglou V, Klavans JL, Eskin E. Detecting text similarity over short passages: exploring linguistic feature combinations via machine learning. In: Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora; 1999.
Knight K, Marcu D. Statistics-based summarization – step one: sentence compression. In: Proceedings of the 17th National Conference on Artificial Intelligence; 2000. p. 703–10.
Kupiec J, Pedersen JO, Chen F. A trainable document summarizer. In: Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1995. p. 68–73.
Lin CY, Hovy E. Automatic evaluation of summaries using n-gram co-occurrence statistics. In: Proceedings of the 2003 Human Language Technology Conference; 2003. p. 71–8.
Luhn HP. The automatic creation of literature abstracts. IBM J Res Dev. 1958;2(2):159–65.
Mani I, Gates B, Bloedorn E. Improving summaries by revising them. In: Proceedings of the 27th Annual Meeting of the Association for Computational Linguistics; 1999. p. 558–65.
Marcu D. The rhetorical parsing, summarization, and generation of natural language texts. PhD Thesis, University of Toronto. 1997.
Radev DR. Text summarization. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2004.
Radev DR, Blair-Goldensohn S, Zhang Z. Experiments in single and multi-document summarization using MEAD. In: Proceedings of the 2001 Document Understanding Conference; 2001.
Radev DR, Hovy E, McKeown K. Introduction to the special issue on summarization. Comput Linguist. 2002;28(4):399–408.
Radev DR, McKeown K. Generating natural language summaries from multiple on-line sources. Comput Linguist. 1998;24(3):469–500.
Sparck JK. Automatic summarising: the state of the art. Inf Process Manag. 2007;43(6):1449–81.
Zajic D, Dorr B, Lin J, Schwartz R. Multi-candidate reduction: sentence compression as a tool for document summarization tasks. Inf Process Manage. 2007;43(6):1549–70.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC, part of Springer Nature
About this entry
Cite this entry
Lin, J. (2018). Summarization. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_953
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8265-9_953
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-8266-6
Online ISBN: 978-1-4614-8265-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering