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Topic: Automatic summarization

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	Automatic summarization - Wikipedia, the free encyclopedia
		Automatic summarization is the creation of a shortened version of a text by a computer program.
		Nowadays, summarization systems are able to create both query relevant text summaries and generic machine-generated summaries depending on what the user needs.
		Apart from Fully Automated Summarizers (FAS), there are systems that aid users with the task of summarization (MAHS = Machine Aided Human Summarization), for example by highlighting candidate passages to be included in the summary, and there are systems that depend on post-processing by a human (HAMS = Human Aided Machine Summarization).
	en.wikipedia.org /wiki/Automatic_Summarization (448 words)

	WORKSHOP ON AUTOMATIC SUMMARIZATION (Site not responding. Last check: 2007-09-17)
		Automatic summarization aims at producing a concise, condensed representation of the key information content in an information source for a particular user and task.
		In fact, some form of automatic summarization may be indispensable given the massive information universes that lie ahead in the 21st century.
		The problem of automatic summarization poses a variety of tough challenges in both NL understanding and generation.
	www.isi.edu /~cyl/was-anlp2000.html (403 words)

	Automatic Text Summarization by Paragraph Extraction - Mitra, Singhal, Buckley (ResearchIndex) (Site not responding. Last check: 2007-09-17)
		Domain-independent techniques for automatic summarization by paragraph extraction have been proposed in [12, 15].
		Mitra, M.; Singhal, A.; and Buckley, C. Automatic text summarization by paragraph extraction.
		30 Automatic Text Decomposition Using Text Segments and Text Th..
	citeseer.ist.psu.edu /mitra97automatic.html (537 words)

	Amazon.com: Advances in Automatic Text Summarization: Books: Inderjeet Mani,Mark T. Maybury (Site not responding. Last check: 2007-09-17)
		The technology of automatic text summarization is becoming indispensable for dealing with this problem.
		Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task.
		Discusses the process of distilling the most important information from a source to produce an abridged version for a particular user or task, known as text summarization.
	www.amazon.com /exec/obidos/tg/detail/-/0262133598?v=glance (750 words)

	Text Summarization (Site not responding. Last check: 2007-09-17)
		The MEAD summarizer is now available in the public domain.
		Automatic Summarization of Multiple Documents Project at JHU
		JHU Workshop on Automatic Summarization of Multiple (Multilingual) Documents, 2001
	www.summarization.com (165 words)

	WORKSHOP ON AUTOMATIC SUMMARIZATION (Site not responding. Last check: 2007-09-17)
		The problem of automatic summarization poses a variety of tough challenges
		A spate of recent papers and tutorials on this subject at conferences such as ACL, ANLP/NAACL, ACL/EACL, AAAI, ECAI, IJCAI, and SIGIR point to a growing interest in research in this field.
		NAACL'2001 is an ideal occasion to host another workshop on this problem.
	www.isi.edu /~cyl/was-naacl2001 (234 words)

	Automatic Summarization (ResearchIndex) (Site not responding. Last check: 2007-09-17)
		Abstract: Architecture) 9:30 am Approaches (Shallow methods for Extracts, Deep methods for Abstracts) 10:30 am Break 11:30 am Future: Multi-document, Multimedia Summarization 12:00 pm Conclusion ACL 01 Page 3 Copyright ' 2001 The MITRE Corporation.
		Summarization is all around us.Headlines newspapers, Headline News.Table of contents of a book, magazine, etc.
		1.3: An Automated Client-Driven Approach to Data Extraction using..
	citeseer.ist.psu.edu /461578.html (130 words)

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