Papers with Citation context analysis

    2 papers
    MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting (2022.naacl-main)

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    Challenge: Citation context analysis (CCA) is an important task in natural language processing that studies how and why scholars discuss each other’s work.
    Approach: They propose to use a dataset of 12.6K citation contexts from 1.2K computational linguistics papers to model three important CCA phenomena.
    Outcome: The proposed dataset contains 12.6K citation contexts from 1.2K computational linguistics papers and can model these phenomena.
    FineCite: A Novel Approach For Fine-Grained Citation Context Analysis (2025.findings-acl)

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    Challenge: citation context analysis (CCA) studies the role and purpose of citations in scientific discourse.
    Approach: They construct a first comprehensive context definition based on semantic properties of citing text . they use fine-grained semantic properties to evaluate the definition .
    Outcome: The proposed definition shows improvements of up to 25% over state-of-the-art methods.

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