Extractive Snippet Generation for Arguments

Milad Alshomary, Nick Düsterhus, Henning Wachsmuth
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引用次数: 20

Abstract

Snippets are used in web search to help users assess the relevance of retrieved results to their query. Recently, specialized search engines have arisen that retrieve pro and con arguments on controversial issues. We argue that standard snippet generation is insufficient to represent the core reasoning of an argument. In this paper, we introduce the task of generating a snippet that represents the main claim and reason of an argument. We propose a query-independent extractive summarization approach to this task that uses a variant of PageRank to assess the importance of sentences based on their context and argumentativeness. In both automatic and manual evaluation, our approach outperforms strong baselines.
为参数生成提取代码段
在网络搜索中使用片段来帮助用户评估检索结果与他们的查询的相关性。最近,专门的搜索引擎出现了,检索有争议问题的赞成和反对意见。我们认为,标准的代码片段生成不足以表示论点的核心推理。在本文中,我们介绍了生成一个代表论点的主要主张和理由的片段的任务。我们提出了一种独立于查询的提取摘要方法,该方法使用PageRank的变体来评估基于上下文和论证性的句子的重要性。在自动和手动评估中,我们的方法都优于强基线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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