让摘要句子可追溯来源，提升分析报告可信度。
Where did you get that? Towards Summarization Attribution for Analysts
- 用混合摘要技术连接摘要句与原文片段
- 识别出多种归因错误类型及其占比
- 适合需要可验证结论的分析师使用
分析师必须明确信息来源，否则无法可靠报告。本文聚焦自动归因方法，将摘要中的每句话关联到源文本中的一段内容，该内容可能来自一个或多个文档。我们探索使用混合摘要——即对抽取式摘要进行自动改写——以简化归因过程，并设计一种定制拓扑结构，用于识别不同类别的归因相关错误比例。
原文摘要 · Abstract (English)
Analysts require attribution, as nothing can be reported without knowing the source of the information. In this paper, we will focus on automatic methods for attribution, linking each sentence in the summary to a portion of the source text, which may be in one or more documents. We explore using a hybrid summarization, i.e., an automatic paraphrase of an extractive summary, to ease attribution. We also use a custom topology to identify the proportion of different categories of attribution-related errors.
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