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Filtering by: Committee Member Naithani, Sushma Remove constraint Committee Member: Naithani, Sushma Creator Obeidat, Rasha Remove constraint Creator: Obeidat, Rasha Commencement Year 2020 Remove constraint Commencement Year: 2020

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  • Learning with Limited Labeled Data in Natural Language Processing

    Creator:
    Obeidat, Rasha
    Abstract:
    The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
    Resource Type:
    Dissertation
    Full Text:
    . Liang Huang, Prof Stephen A Ramsey, Prof. Brett Tyler, and Prof. Sushma Naithani, for their insight