Papers with Literature Reviews Dataset

    1 papers
    Hierarchical Catalogue Generation for Literature Review: A Benchmark (2023.findings-emnlp)

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    Challenge: Scientific literature review generation aims to extract and organize important information from an abundant collection of reference papers and produces corresponding reviews while lacking a clear and logical hierarchy.
    Approach: They propose a task to generate a hierarchical catalogue of a review paper given various references by using a database of 7.6k literature review catalogues and 389k reference papers.
    Outcome: The proposed method produces a hierarchical catalogue of a review paper given various references.

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