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Filtering by: Subject Parsing (Computer grammar) Remove constraint Subject: Parsing (Computer grammar) Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Decade 2010-2019 Remove constraint Decade: 2010-2019 Subject Parsing (Computer grammar) Remove constraint Subject: Parsing (Computer grammar)

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  • Parsing with Recurrent Neural Networks

    Creator:
    Cross, James Henry, III
    Abstract:
    Machine learning models for natural language processing have traditionally relied on large numbers of discrete features, built up from atomic categories such as word forms and part-of-speech labels, which are considered completely distinct from each other. Recently however, the advent of dense feature representations coupled with deep learning techniques has...
    Resource Type:
    Dissertation
    Full Text:
    the degree of Doctor of Philosophy in Computer Science presented on December 8, 2016. Title: Parsing