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  1. Deep learning and linguistic representation
    Autor*in: Lappin, Shalom
    Erschienen: 2021
    Verlag:  CRC Press, Boca Raton

    Introduction: Deep learning in natural language processing -- Learning syntactic structure with deep neural networks -- Machine learning and the sentence acceptability task -- Predicting human acceptability judgments in context -- Cognitively viable... mehr

    Standort:
    Universitätsbibliothek Leipzig
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Link zum Verbundkatalog:
    Südwestdeutscher Bibliotheksverbund (SWB)

     

    Introduction: Deep learning in natural language processing -- Learning syntactic structure with deep neural networks -- Machine learning and the sentence acceptability task -- Predicting human acceptability judgments in context -- Cognitively viable computational models of linguistic knowledge -- Conclusions and future work. "The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work illuminates our understanding of the way in which humans acquire and represent linguistic knowledge"--

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9780367648749; 9780367649470
    RVK Klassifikation: ES 965 ; ST 306
    Auflage/Ausgabe: First edition
    Schriftenreihe: Chapman & Hall/CRC macine learning & pattern recognition
    Schlagworte: Computational linguistics; Natural language processing (Computer science); Machine learning
    Umfang: xiv, 147 Seiten, Illustrationen, Diagramme
    Bemerkung(en):

    Includes bibliographical references and index