Papers by Pablo Loyola

    2 papers
    An Edit-centric Approach for Wikipedia Article Quality Assessment (D19-55)

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    Challenge: Existing methods to assess article quality in Wikipedia are based on a document-level approach, but considering the whole document could have negative repercussions.
    Approach: They propose an edit-centric approach to assess Wikipedia article quality using an edit classifier and a generative module that provides an estimation and translates it into natural language.
    Outcome: The proposed model is cost-effective and can be implemented in Wikipedia.
    Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs (2023.findings-emnlp)

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    Challenge: Existing studies show that color perception and color language are suitable for empirically studying the problem.
    Approach: They propose to quantify alignment between a defined color space and a feature space in a language model by learning a mapping between embedding space and color space.
    Outcome: The results show that there is considerable alignment between a defined color space and the feature space defined by a language model.

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