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Extraction techniques merely copy the information deemed most important by the system to the summary, while abstraction involves paraphrasing sections of the [[source document]]. In general, abstraction can condense a text more strongly than extraction, but the programs that can do this are harder to develop.
== A good example of the use of summarization technology could be search engines such as Google. === A real and online demo
You can summarize automatically and dynamically a Google hit list by
launching a query via http://www.pertinence.net/google/en
and then clicking "summary" (to the right of "Cached" and "Similar
Pages"). Enter the login "google" and password "google" (you will not have to
type them later).
Pertinence Summarizer's automatic summarization functionality may be
integrated into any other search engine over the Internet or an
Intranet.
It has practical features:
- For all the terms of the query, the corresponding occurrences are
highlighted and you can navigate between occurrences with the Tab key.
- You can summarize the content of the text retrieved by Google, by a
percentage selected from the orange bar (supported formats: MSWord,PDF, txt, html…)
The same function is available for French documents at
http://www.pertinence.net/google/fr
Regards,
A. Lehmam
The Pertinence Mining team
http://www.pertinence.net/index_en.html
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==Types of summaries==
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