This new textbook examines the motivations and the different
algorithms for automatic document summarization (ADS). We performed
a recent state of the art. The book shows the main problems of ADS,
difficulties and the solutions provided by the community. It
presents recent advances in ADS, as well as current applications
and trends. The approaches are statistical, linguistic and
symbolic. Several exemples are included in order to clarify the
theoretical concepts. The books currently available in the area of
Automatic Document Summarization are not recent. Powerful
algorithms have been developed in recent years that include several
applications of ADS. The development of recent technology has
impacted on the development of algorithms and their applications.
The massive use of social networks and the new forms of the
technology requires the adaptation of the classical methods of text
summarizers. This is a new textbook on Automatic Text
Summarization, based on teaching materials used in two or
one-semester courses. It presents a extensive state-of-art and
describes the new systems on the subject. Previous automatic
summarization books have been either collections of specialized
papers, or else authored books with only a chapter or two devoted
to the field as a whole. In other hand, the classic books on the
subject are not recent.
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