Papers by Veronica Lynn

    2 papers
    Residualized Factor Adaptation for Community Social Media Prediction Tasks (D18-1)

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    Challenge: Existing approaches to social media language capture only socio-demographic contexts, such as age, education rates, race, and gender.
    Approach: They propose a method which integrates community attributes and adapts linguistic features to community attributes.
    Outcome: The proposed model integrates community attributes and adapts linguistic features to community attributes.
    Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention (2020.acl-main)

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    Challenge: Language processing is increasingly finding use as a supplement for questionnaires to assess psychological attributes of consenting individuals, but most approaches neglect to consider whether all documents of an individual are equally informative.
    Approach: They propose a model that uses message-level attention to learn the relative weight of users’ social media posts for assessing their five factor personality traits.
    Outcome: The proposed model outperforms models with word-level attention and yields state-of-the-art accuracies for all five personality traits.

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