Papers by Pablo Weingart

    1 papers
    Modelling Argumentation for an User Opinion Aggregation Tool (2024.lrec-main)

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    Challenge: Existing methods for eliciting information from user opinion data are limited to high-level text and are prone to hallucination, degrading system performance or introduce biases.
    Approach: They propose an argumentation annotation scheme that models argumentative structure across user opinion domains.
    Outcome: The proposed model can predict arguments and contextual details from user opinions . the model can rank products based on user opinions and improve user experience .

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