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  • 1
    Online Resource
    Online Resource
    Advances in Open Domain Question Answering (2006)
    Dordrecht : Springer
    Details
    ISBN: 9781402047466
    Language: English
    Pages: Online-Ressource , v.: digital
    Edition: Online-Ausg. Springer eBook Collection. Humanities, Social Science and Law Electronic reproduction; Available via World Wide Web
    Series Statement: Text, speech, and language technology
    DDC: 006.54
    Keywords: Computational Linguistics ; Linguistics ; Computer science ; Artificial intelligence ; Text processing (Computer science ; Information storage and retrieval systems ; Digitale Sprachverarbeitung ; Frage-Antwort-System
    Abstract: "This new Springer volume provides a comprehensive and detailed look at current approaches to automated question answering. The level of presentation is suitable for newcomers to the field as well as for professionals wishing to study this area and/or to build practical QA systems. The book can serve as a ""how-to"" handbook for IT practitioners and system developers. It can also be used to teach graduate courses in Computer Science, Information Science and related disciplines."
    Abstract: Automated question answering - the ability of a machine to answer questions, simple or complex, posed in ordinary human language - is one of the most exciting technological developments. This book looks at the various approaches to automated question answering. It serves as a "how-to" handbook for IT practitioners and system developers
    Description / Table of Contents: Front Matter; Some Advanced Features of LCC's Poweranswer; A Statistical Approach For Open Domain Question Answering; Coreference in Q&A; Questions and Intentions; Question Answering as Dialogue with Data; Coping With Alternate Formulations of Questions And Answers; Sentence Ranking Using Keywords and Meta-Keywords; Question Answering By Passage Selection; Query Modulation For Web-Based Question Answering; Question Answering by Predictive Annotation; Question Answering Supported By Multiple Levels Of Information Extraction; How to Select an Answer String?
    Description / Table of Contents: Evaluating Question Answering System PerformanceEvaluating Interactive Question Answering; Habitability in Question-Answering Systems; Question Answering: Technology for Intelligence Analysis; Reverse-Engineering Question/Answer Collections From Ordinary Text; New Directions in Question Answering; Back Matter
    Note: Includes bibliographical references and index , Electronic reproduction; Available via World Wide Web
    DOI: 10.1007/978-1-4020-4746-6
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Natural Language Information Retrieval (1999)
    Dordrecht : Springer
    Details
    ISBN: 9789401723886
    Language: English
    Pages: Online-Ressource (XXV, 384 p) , digital
    Edition: Springer eBook Collection. Humanities, Social Sciences and Law
    Series Statement: Text, Speech and Language Technology 7
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computer science ; Linguistics ; Information storage and retrieval systems ; Artificial intelligence ; Computational linguistics ; Natural language processing (Computer science). ; User interfaces (Computer systems). ; Human-computer interaction.
    Abstract: The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and information access has exploded. Emerging applications in computer-assisted information production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products. This volume focuses on the use of Natural Language Processing (NLP) in Information Retrieval, the technology that grew out of library research to become our best hope in dealing with today's information overload. The book gives a broad overview of the work being done at the junction of these two important fields, and suggests directions for future explorations. It is organized into two loosely structured parts: The first part, consisting of Chapters 1 through 7, discusses research systems and evaluations that represent major avenues where the impact of NLP technologies in information retrieval is being explored. The second part (Chapters 8 through 14) describes specific implementations and prototypes of information systems where NLP techniques are used or proposed to assist in accurate retrieval, text categorization, question answering, and in organizing the results for the user. Audience: This book will be a valuable reference to researchers and practitioners in the fields of Natural Language Processing, Information Retrieval, and Computational Linguistics
    DOI: 10.1007/978-94-017-2388-6
    URL: Volltext  (lizenzpflichtig)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
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