Papers with Mandarin BLC detection

    1 papers
    Synthetic Textual Features for the Large-Scale Detection of Basic-level Categories in English and Mandarin (2021.emnlp-main)

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    Challenge: Basic-level categories are an important psycholinguistic concept introduced by Rosch et al. . an at-scale algorithm for the automatic determination of BLC exists, but it operates without Rosch-style semantic features.
    Approach: They propose a method for the detection of BLC at scale that makes use of Rosch-style semantic features.
    Outcome: The proposed method outperforms the current SoA in detecting basic-level categories with an accuracy of 75.0% in English and 80.7% in Mandarin.

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