SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a
  Survey Section
Authors: name: Leandro Carísio Fernandes, name: Gustavo Bartz Guedes, name: Thiago Soares Laitz, name: Thales Sales Almeida, name: Rodrigo Nogueira, name: Roberto Lotufo, name: Jayr Pereira

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.