New measure quantifies ambiguity in legal and policy texts

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-27 04:00

研究人员开发了一种新的方法来量化法律和政策等规定性文本中的歧义。该方法通过评估利益相关者对不同文本如何应用于各种场景的分歧程度来衡量歧义。初步分析表明，这种情境化度量与人类的分歧相关，并且对表面文本特征具有鲁棒性。该方法应用于现有数据集，以探索政策歧义与公众支持之间的关系。 AI

排序理由该集群包含一篇在arXiv上发表的关于新方法的论文。[lever_c_demoted from research: ic=1 ai=0.4]

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本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇在arXiv上发表的关于新方法的论文。[lever_c_demoted from research: ic=1 ai=0.4]
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Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: Standard; On-topic for AI-industry coverage; kept in the public index.
Story freshness: 3 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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arXiv cs.CL TIER_1 English(EN) · Sally Dong, Luke Thorburn, Andrew Konya, Michiel Bakker · 2026-10-27 04:00

描述性文本中的歧义性上下文度量

arXiv:2610.35461v1 Announce Type: new Abstract: Ambiguity in prescriptive text such as laws, contracts, rules, policies, or recommendations can be both desirable (e.g., if it enables a law to adapt to changing context, such as new technologies) and undesirable (e.g., if it leads …