Papers by Melissa Lopez

    1 papers
    Understanding Iterative Revision from Human-Written Text (2022.acl-long)

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    Challenge: This work describes IteraTeR: the first large-scale, multi-domain, edit-intention annotated corpus of iteratively revised text.
    Approach: They propose to annotate iteratively revised text using a multi-domain annotated corpus that generalizes to a variety of domains, edit intentions, revision depths, and granularities.
    Outcome: The proposed model improves automatic evaluations by integrating edit intentions with writing quality.

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