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Text summarization has been studied for over a half century, but traditional methods process texts empirically and neglect the fundamental characteristics and principles of language use and understanding. Automatic summarization is a desirable technique for processing big data. This reference summarizes previous text summarization approaches in a multi-dimensional category space, introduces a multi-dimensional methodology for research and development, unveils the basic characteristics and principles of language use and understanding, investigates some fundamental mechanisms of summarization, studies dimensions on representations, and proposes a multi-dimensional evaluation mechanism. Investigation extends to incorporating pictures into summary and to the summarization of videos, graphs and pictures, and converges to a general summarization method. Further, some basic behaviors of summarization are studied in the complex cyber-physical-social space. Finally, a creative summarization mechanism is proposed as an effort toward the creative summarization of things, which is an open process of interactions among physical objects, data, people, and systems in cyber-physical-social space through a multi-dimensional lens of semantic computing. The author’s insights can inspire research and development of many computing areas. The first book that proposes the method for the summarization of things in cyber-physical society through a multi-dimensional lens of semantic computing. A transformation from the traditional application-driven research paradigm into a data-driven research paradigm for creative summarization through information modeling, cognitive modeling and knowledge modeling. A multi-dimensional methodology for studying, managing, creating and applying methods.

Automatic abstracting. --- Abstracting --- Information storage and retrieval systems

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With the explosion in the quantity of on-line text and multimedia information in recent years, there has been a renewed interest in automatic summarization. This book provides a systematic introduction to the field, explaining basic definitions, the strategies used by human summarizers, and automatic methods that leverage linguistic and statistical knowledge to produce extracts and abstracts. Drawing from a wealth of research in artificial intelligence, natural language processing, and information retrieval, the book also includes detailed assessments of evaluation methods and new topics such as multi-document and multimedia summarization. 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. This is the first textbook on the subject, developed based on teaching materials used in two one-semester courses. To further help the student reader, the book includes detailed case studies, accompanied by end-of-chapter reviews and an extensive glossary.Audience: students and researchers, as well as information technology managers, librarians, and anyone else interested in the subject.

Mathematical linguistics --- Information retrieval --- Artificial intelligence. Robotics. Simulation. Graphics --- Automatic abstracting --- Library & Information Science --- Social Sciences --- Automatic abstracting. --- Conflict management --- Violence --- Social conflict --- Conflict control --- Conflict resolution --- Dispute settlement --- Management of conflict --- Managing conflict --- Management --- Negotiation --- Problem solving --- Crisis management --- Automatisch samenvatten. --- Computerlinguïstiek. --- Linguïstiek en gegevensverwerking. --- Natural language processing. --- Natuurlijke taalverwerking. --- Taaltechnologie.

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Mathematical linguistics --- Pragmatics --- Discourse analysis --- Parsing (Computer grammar) --- Abstracts --- Automatic abstracting. --- Data processing. --- Abstracting --- Information storage and retrieval systems --- Summaries of publications --- Bibliography --- Parsers (Computer grammar) --- Computational linguistics --- Formal languages --- Generative grammar --- Grammar, Comparative and general

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Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.

Automatic abstracting. --- Automatic indexing. --- Automatic indexing --- Automatic abstracting --- Engineering & Applied Sciences --- Social Sciences --- Computer Science --- Library & Information Science --- 001.814 --- 001.815 --- 025.4.026 --- 681.3*H31 Content analysis and indexing: abstracting methods; dictionaries; indexing methods; linguistic processing; thesauruses (Information storage and retrieval) --- Content analysis and indexing: abstracting methods; dictionaries; indexing methods; linguistic processing; thesauruses (Information storage and retrieval) --- Abstracting --- 025.4.026 Ontsluiten van (elementen van de inhoud) van documenten --- Ontsluiten van (elementen van de inhoud) van documenten --- 001.815 Indexen. Registers. Personenregisters. Zaakregisters --- Indexen. Registers. Personenregisters. Zaakregisters --- 001.814 Aantekeningen. Inhoudsopgaven. Referaten. Abstracts. Recherches. Reviews --- Aantekeningen. Inhoudsopgaven. Referaten. Abstracts. Recherches. Reviews --- Computer science. --- Data structures (Computer science). --- Information storage and retrieval. --- Artificial intelligence. --- Text processing (Computer science). --- Computer Science. --- Information Storage and Retrieval. --- Artificial Intelligence (incl. Robotics). --- Document Preparation and Text Processing. --- Data Structures, Cryptology and Information Theory. --- Academic collection --- 681.3*H31 --- 681.3 --- Indexing --- Text processing (Computer science) --- Information storage and retrieval systems --- Computerwetenschap --- Information retrieval --- Library automation --- Subject indexing --- 681.3* / / / / / / / / / / / / / / / / / / / / / / / / / / / / --- Natural language processing (Computer science). --- Data structures (Computer scienc. --- Artificial Intelligence. --- Natural Language Processing (NLP). --- Data Structures and Information Theory. --- Information storage and retrieval systems. --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers