Papers by Georg Wenzel

    1 papers
    Temporal Validity Change Prediction (2024.findings-acl)

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    Challenge: Existing benchmarking tasks require models to identify temporal validity duration of a single statement . however, many data sources contain additional context, which may alter the duration of the original statement if the context is present .
    Approach: They propose a task benchmarking the ability of machine learning to detect context statements that induce such change.
    Outcome: The proposed task uses a dataset of temporal target statements and crowdsource corresponding context statements to benchmark them.

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