Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding

Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding

Author: Fiori, Alessandro

Publisher: IGI Global

Published: 2014-01-31

Total Pages: 363

ISBN-13: 1466650206

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The prevalence of digital documentation presents some pressing concerns for efficient information retrieval in the modern age. Readers want to be able to access the information they desire without having to search through a mountain of unrelated data, so algorithms and methods for effectively seeking out pertinent information are of critical importance. Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding evaluates some of the existing approaches to information retrieval and summarization of digital documents, as well as current research and future developments. This book serves as a sounding board for students, educators, researchers, and practitioners of information technology, advancing the ongoing discussion of communication in the digital age.


Mathematical Linguistics

Mathematical Linguistics

Author: Andras Kornai

Publisher: Springer Science & Business Media

Published: 2007-11-10

Total Pages: 300

ISBN-13: 1846289858

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Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed. As the first textbook of its kind, this book is useful for those in information science and in natural language technologies.


Index of NLM Serial Titles

Index of NLM Serial Titles

Author: National Library of Medicine (U.S.)

Publisher:

Published: 1979

Total Pages: 1118

ISBN-13:

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A keyword listing of serial titles currently received by the National Library of Medicine.


Computational Linguistics and Intelligent Text Processing

Computational Linguistics and Intelligent Text Processing

Author: Alexander Gelbukh

Publisher: Springer

Published: 2003-07-31

Total Pages: 456

ISBN-13: 3540457151

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This book constitutes the refereed proceedings of the Third International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2002, held in Mexico City, Mexico in February 2002. The 44 revised papers presented together with four invited papers were carefully reviewed and selected from a total of 67 submissions. The papers are organized in topical sections on semantics, word sense disambiguation, amaphora, syntax and parsing, part of speech tagging, lexicon and corpus, text generation, morphology, speech, spelling, information extraction and information retrieval, summarization, text mining, and text classification and categorization, document processing, and demo descriptions.


Cross-Language Information Retrieval

Cross-Language Information Retrieval

Author: Gregory Grefenstette

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 190

ISBN-13: 1461556619

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Most of the papers in this volume were first presented at the Workshop on Cross-Linguistic Information Retrieval that was held August 22, 1996 dur ing the SIGIR'96 Conference. Alan Smeaton of Dublin University and Paraic Sheridan of the ETH, Zurich, were the two other members of the Scientific Committee for this workshop. SIGIR is the Association for Computing Ma chinery (ACM) Special Interest Group on Information Retrieval, and they have held conferences yearly since 1977. Three additional papers have been added: Chapter 4 Distributed Cross-Lingual Information retrieval describes the EMIR retrieval system, one of the first general cross-language systems to be implemented and evaluated; Chapter 6 Mapping Vocabularies Using Latent Semantic Indexing, which originally appeared as a technical report in the Lab oratory for Computational Linguistics at Carnegie Mellon University in 1991, is included here because it was one of the earliest, though hard-to-find, publi cations showing the application of Latent Semantic Indexing to the problem of cross-language retrieval; and Chapter 10 A Weighted Boolean Model for Cross Language Text Retrieval describes a recent approach to solving the translation term weighting problem, specific to Cross-Language Information Retrieval. Gregory Grefenstette CONTRIBUTORS Lisa Ballesteros David Hull W, Bruce Croft Gregory Grefenstette Center for Intelligent Xerox Research Centre Europe Information Retrieval Grenoble Laboratory Computer Science Department University of Massachusetts Thomas K. Landauer Department of Psychology Mark W. Davis and Institute of Cognitive Science Computing Research Lab University of Colorado, Boulder New Mexico State University Michael L. Littman Bonnie J.


Information System Quality Management: A Theoretical Approach

Information System Quality Management: A Theoretical Approach

Author: Georgy Isayev

Publisher: Animedia Company

Published: 2019

Total Pages: 290

ISBN-13: 8074993469

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The monograph examines a number of issues related to the information system quality management paradigm. The information systems are applied to organizational and management domains. The book covers the fundamentals of information system quality management, and their quality improvement. The creation of models, algorithms, methods, and tools for improving the information system quality in terms of system development, operation, and evolution is also considered. A comprehensive information system quality management system is proposed as a quality improvement tool, and as a new category of information and control systems. Goals, objectives, functions, structure, development and functioning of such systems are presented. The book is intended for information system developers, experts, researchers, doctorate students who deal with the information system quality assurance, and for university students majoring in Applied Computer Science, Computer Science for Business, Information Technology, Automated Systems, Information Management, and similar subjects.