SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section

Leandro Carísio Fernandes, Gustavo Bartz Guedes, Thiago Soares Laitz, Thales Sales Almeida, Rodrigo Nogueira +2 more
8/29/2024
cs.CL

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Abstract

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.

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Cite this paper

@article{fernandes2024surveysum,
  title  = {SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section},
  author = {Leandro Carísio Fernandes and Gustavo Bartz Guedes and Thiago Soares Laitz and Thales Sales Almeida and Rodrigo Nogueira and Roberto Lotufo and Jayr Pereira},
  year   = {2024},
  eprint = {2408.16444},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.16444v1}
}

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