Papers by Sasi Bhushan Seelaboyina

    1 papers
    NwQM: A neural quality assessment framework for Wikipedia (2020.emnlp-main)

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    Challenge: Wikipedia articles are classified into several quality classes, which indicate their reliability as encyclopedic content.
    Approach: They propose a deep learning model which accumulates signals from key information sources to obtain improved Wikipedia article representation.
    Outcome: The proposed model improves Wikipedia article representation by 8% over state-of-the-art approaches with detailed ablation studies.

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