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Filtering by: Alternative title ssim Technical note no. 156 Remove constraint Alternative title ssim: Technical note no. 156 Committee Member Lee, Stefan Remove constraint Committee Member: Lee, Stefan Degree Name Honors Bachelor of Science (H.B.S.) Remove constraint Degree Name: Honors Bachelor of Science (H.B.S.)

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  • Real-time Speech Workload Estimation

    Creator:
    Fortune, Julian D.
    Abstract:
    Demanding task environments (e.g., supervising a remotely piloted aircraft) require performing tasks quickly and accurately; however, periods of low and high operator workload can decrease task performance. Intelligent modulation of the system’s demands and interaction modality in response to changes in operator workload state may increase performance by avoiding undesirable...
    Resource Type:
    Honors College Thesis
    Full Text:
    . There exist no workload assessment algorithms in the literature that are capable of estimating speech

  • An Exploration Into The Ever-changing Expanse of Non-periodic Tilings

    Creator:
    Tassin, Ian
    Abstract:
    This paper synthesizes various works Wang tiles up to this point, including: the reduction from the Halting Problem to Wang Tiling Problem and notions around various aspects of periodicity, including minimal period, aperiodicity, and axis-aligned periodicity. Additionally it includes new work, including: a proof that a tiling can be periodic...
    Resource Type:
    Honors College Thesis
    Full Text:
    Philosophical Note On Aperiodicity and Strange Loops . . . . . . . . . . . . . . . . . . . . 12 1.4 Definitions

  • Relation extraction with automatic ontonotes annotation and ETC

    Creator:
    Sauer, Andrew
    Abstract:
    Intuitively, it seems as though natural language processing tasks might benefit from explicit representations of the syntactic and semantic properties of text. Ontonotes is a dataset which attempts to annotate texts, to represent as much as possible of the meaning of the text explicitly within the annotation. Many tools exist...
    Resource Type:
    Honors College Thesis
    Full Text:
    ). In the DocRED dataset [1], this information is already included in the features, and so no automatic