Automatic Text Summarization (eBook)

Juan-Manuel Torres-Moreno (Herausgeber)

eBook Download: PDF

2014
John Wiley & Sons (Verlag)
978-1-119-04414-7 (ISBN)

Infos

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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Textual information in the form of digital documents quickly accumulates to create huge amounts of data. The majority of these documents are unstructured: it is unrestricted text and has not been organized into traditional databases. Processing documents is therefore a perfunctory task, mostly due to a lack of standards. It has thus become extremely difficult to implement automatic text analysis tasks. Automatic Text Summarization (ATS), by condensing the text while maintaining relevant information, can help to process this ever-increasing, difficult-to-handle, mass of information. This book examines the motivations and different algorithms for ATS. The author presents the recent state of the art before describing the main problems of ATS, as well as the difficulties and solutions provided by the community. The book provides recent advances in ATS, as well as current applications and trends. The approaches are statistical, linguistic and symbolic. Several examples are also included in order to clarify the theoretical concepts.

Autor

Juan-Manuel Torres-Moreno is Associate Professor at the Université d'Avignon et des Pays de Vaucluse (UAPV) in France and is head of the research team Natural Language Processing (NLP/TALNE) at the Laboratoire Informatique d'Avignon (LIA). His current research lies within the field of NLP where he is investigating techniques for ATS. His other research interests include sentence compression, information retrieval, machine learning and artificial consciousness.

Produkt-Details

• Erscheint lt. Verlag: 25.9.2014
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Applications • Automatic • automatic summaries • automatic summarization • Computer Science • Concepts • important • Informatik • Informationstechnologie • Information Technologies • Model • Notation • Part • salvador saggion • sentenceterm • Summarization • summarize
• ISBN-10: 1-119-04414-6 / 1119044146
• ISBN-13: 978-1-119-04414-7 / 9781119044147