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  • Fall 2023

    Mirzaei, Hamed

    We study the problem of Table Union Search (TUS) in the presence of preferences. Two tables are unionable if their column values are drawn from the same domains. This notion of unionability is too coarse to be effective in down-stream tasks. The result of a table search for unionability is often...

  • Fall 2022

    Sayehban, Shahrzad

    Sentence reconstruction and generation are essential applications in Natural Language Processing (NLP). Early studies were based on classic methods such as production rules and statistical models. Recently, the prevailing models typically use deep neural networks. In this study, we utilize deep...

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