English(EN) Generating Query-Focused Summarization Datasets from Query-Free Summarization Datasets

新方法从无查询的数据集中为摘要任务生成查询

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-08 04:00

研究人员开发了一种新颖的方法，可以从现有的无查询摘要数据集中自动生成相关查询。该方法旨在为面向查询的摘要（QFS）任务创建有用的数据集。实验表明，使用这些自动创建的查询生成的摘要，其性能与使用原始查询生成的摘要相当，这表明了这种基于证据的查询生成技术的可行性。 AI

影响这项研究可以实现为面向查询的摘要创建更多专用数据集，从而可能提高信息检索和摘要系统的性能。

排序理由该集群包含一篇学术论文，详细介绍了一种用于为特定NLP任务生成数据集的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.CL TIER_1 English(EN) · Yllias Chali, Deen Abdullah · 2026-05-08 04:00

从无查询式摘要数据集生成面向查询的摘要数据集

arXiv:2605.05392v1 Announce Type: new Abstract: Large-scale datasets are widely used to perform summarization tasks, but they may not include queries alongside documents and summaries. In the search for suitable datasets for Query-Focused Summarization (QFS), we identify two rese…