Papers by Lizzie Liang

    1 papers
    QueryNER: Segmentation of E-commerce Queries (2024.lrec-main)

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    Challenge: Prior work on aspect-value extraction has focused on extracting portions of a product title or query for narrowly defined aspects.
    Approach: They propose a manually-annotated dataset and model for e-commerce query segmentation.
    Outcome: The proposed model can recover from null and low recall queries with token and entity dropping.

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