Current approaches to automatic summarization of scientific papers generate informative summaries in the form of abstracts. However, abstracts are not intended to show the relationship between a paper and the references cited in it. We propose a new contextualized summarization approach that can generate an informative summary conditioned on a given sentence containing the citation of a reference (a so-called ``citance''). This summary outlines the content of the cited paper relevant to the citation location. Thus, our approach extracts and models the citances of a paper, retrieves relevant passages from cited papers, and generates abstractive summaries tailored to each citance. We evaluate our approach using $\textbf{Webis-Context-SciSumm-2023}$, a new dataset containing 540K~computer science papers and 4.6M~citances therein.

翻译：当前科学论文自动摘要方法通常以摘要形式生成信息性概述，但摘要无法展示论文与其引用文献之间的关系。我们提出一种新型语境化摘要方法，该方法能够基于包含参考文献引用的特定句子（即"引用句"）生成信息性摘要。这种摘要可概述与被引位置相关的被引论文内容。为此，我们的方法提取并建模论文中的引用句，从被引论文中检索相关段落，并为每个引用句生成定制化的抽象式摘要。我们使用包含54万篇计算机科学论文及其中460万个引用句的新数据集$\textbf{Webis-Context-SciSumm-2023}$对方法进行评估。