Automatic Text Summarization /

• Κύριος συγγραφέας: Torres-Moreno, Juan-Manuel
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : ISTE ; 2014.; Hoboken, NJ : Wiley, 2014.
• Σειρά: Cognitive science and knowledge management series.
• Θέματα: Automatic abstracting.; LANGUAGE ARTS & DISCIPLINES > Library & Information Science > General.; Electronic books.

 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. This book can help to process this ever-increasing, difficult-to-handle, mass of information. It 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. It 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. --   Edited summary from book. 

 Title Page; Copyright; Foreword by A. Zamora and R. Salvador; Foreword by H. Saggion; Notation; Introduction; PART 1: Foundations; 1 Why Summarize Texts?; 1.1. The need for automatic summarization; 1.2. Definitions of text summarization; 1.3. Categorizing automatic summaries; 1.4. Applications of automatic text summarization; 1.5. About automatic text summarization; 1.6. Conclusion; 2 Automatic Text Summarization: Some Important Concepts; 2.1. Processes before the process; 2.2. Extraction, abstraction or compression?; 2.3. Extraction-based summarization; 2.4. Abstract summarization.