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Author: Marie-Francine Moens
Publisher: Springer Science & Business Media
ISBN: 0306470179
Category : Computers
Languages : en
Pages : 276
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Book Description
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.
Author: Marie-Francine Moens
Publisher: Springer Science & Business Media
ISBN: 0306470179
Category : Computers
Languages : en
Pages : 276
Get Book Here
Book Description
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.
Author: Marie-Francine Moens
Publisher: Springer
ISBN: 9781475773750
Category : Computers
Languages : en
Pages : 266
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Book Description
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.
Author: Juan-Manuel Torres-Moreno
Publisher: John Wiley & Sons
ISBN: 1848216688
Category : Computers
Languages : en
Pages : 368
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Book Description
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.
Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
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Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author: Symposium on Materials Information Retrieval
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 184
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Book Description
Author: Jennifer Rowley
Publisher: Taylor & Francis
ISBN: 135191328X
Category : Language Arts & Disciplines
Languages : en
Pages : 392
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Book Description
The fourth edition of this standard student text, Organizing Knowledge, incorporates extensive revisions reflecting the increasing shift towards a networked and digital information environment, and its impact on documents, information, knowledge, users and managers. Offering a broad-based overview of the approaches and tools used in the structuring and dissemination of knowledge, it is written in an accessible style and well illustrated with figures and examples. The book has been structured into three parts and twelve chapters and has been thoroughly updated throughout. Part I discusses the nature, structuring and description of knowledge. Part II, with its five chapters, lies at the core of the book focusing as it does on access to information. Part III explores different types of knowledge organization systems and considers some of the management issues associated with such systems. Each chapter includes learning objectives, a chapter summary and a list of references for further reading. This is a key introductory text for undergraduate and postgraduate students of information management.
Author: Jean Aitchison
Publisher: Routledge
ISBN: 1135476446
Category : Language Arts & Disciplines
Languages : en
Pages : 212
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Book Description
A practical guide to the construction of thesauri for use in information retrieval, written by leading experts in the field. Includes: planning and design; vocabulary control; specificity and compound terms; structure and relationships; auxiliary retrieval devices; multilingual thesauri; AAT Compound Term Rules. The US ANSI/NISO Z39.19 Thesaurus construction standard is also covered.
Author:
Publisher:
ISBN:
Category : Documentation
Languages : en
Pages : 168
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Book Description
Author: National Science Foundation (U.S.). Office of Scientific Information
Publisher:
ISBN:
Category :
Languages : en
Pages : 690
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Book Description
Author: Inderjeet Mani
Publisher: MIT Press
ISBN: 9780262133593
Category : Computers
Languages : en
Pages : 464
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Book Description
ntil now there has been no state-of-the-art collection of themost important writings in automatic text summarization. This bookpresents the key developments in the field in an integrated frameworkand suggests future research areas. With the rapid growth of the World Wide Web and electronic information services, information is becoming available on-line at an incredible rate. One result is the oft-decried information overload. No one has time to read everything, yet we often have to make critical decisions based on what we are able to assimilate. The technology of automatic text summarization is becoming indispensable for dealing with this problem. Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. Until now there has been no state-of-the-art collection of the most important writings in automatic text summarization. This book presents the key developments in the field in an integrated framework and suggests future research areas. The book is organized into six sections: Classical Approaches, Corpus-Based Approaches, Exploiting Discourse Structure, Knowledge-Rich Approaches, Evaluation Methods, and New Summarization Problem Areas. Contributors D. A. Adams, C. Aone, R. Barzilay, E. Bloedorn, B. Boguraev, R. Brandow, C. Buckley, F. Chen, M. J. Chrzanowski, H. P. Edmundson, M. Elhadad, T. Firmin, R. P. Futrelle, J. Gorlinsky, U. Hahn, E. Hovy, D. Jang, K. Sparck Jones, G. M. Kasper, C. Kennedy, K. Kukich, J. Kupiec, B. Larsen, W. G. Lehnert, C. Lin, H. P. Luhn, I. Mani, D. Marcu, M. Maybury, K. McKeown, A. Merlino, M. Mitra, K. Mitze, M. Moens, A. H. Morris, S. H. Myaeng, M. E. Okurowski, J. Pedersen, J. J. Pollock, D. R. Radev, G. J. Rath, L. F. Rau, U. Reimer, A. Resnick, J. Robin, G. Salton, T. R. Savage, A. Singhal, G. Stein, T. Strzalkowski, S. Teufel, J. Wang, B. Wise, A. Zamora
