SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section
<|reference_start|>SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section: Document summarization is a task to shorten texts into concise and informative summaries. This paper introduces a novel dataset designed for summarizing multiple scientific articles into a section of a survey. Our contributions are: (1) SurveySum, a new dataset addressing the gap in domain-specific summarization tools; (2) two specific pipelines to summarize scientific articles into a section of a survey; and (3) the evaluation of these pipelines using multiple metrics to compare their performance. Our results highlight the importance of high-quality retrieval stages and the impact of different configurations on the quality of generated summaries.<|reference_end|>
@article{fernandes2024surveysum:,
    title={SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a
  Survey Section},
    author={Leandro Car'isio Fernandes, Gustavo Bartz Guedes, Thiago Soares
  Laitz, Thales Sales Almeida, Rodrigo Nogueira, Roberto Lotufo, Jayr Pereira},
    journal={arXiv preprint arXiv:2408.16444},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.16444},
    primaryClass={cs.CL}
}