English(EN) O-Funnel: Lossless Structural Capture and Requirement-Driven Extraction from Drifting, Heterogeneous Documents

O-Funnel 库提供从不断变化的文档中进行无损数据提取

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-30 07:54

研究人员开发了 O-Funnel，一个新颖的 Python 库，旨在无需手动编写模式即可从异构且不断变化的文档中提取数据。O-Funnel 将结构捕获与值提取分离，将 XML、JSON 和 HTML 等各种文档格式转录为统一的树状结构。这种方法确保即使在模式发生变化时，数据提取仍然健壮，正如其在模式重命名后对 PubMed 记录的完美准确性所证明的那样，其性能优于传统的基于正则表达式的解析器。 AI

影响增强了处理各种不断变化数据源的 AI 系统的数据处理能力。

排序理由详细介绍数据提取新方法和库的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.IR (Information Retrieval) 阅读 →

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

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; 详细介绍数据提取新方法和库的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 5 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Osama Mustafa · 2026-09-30 07:54

O-Funnel：从漂移、异构文档中进行无损结构捕获和需求驱动提取

Pulling a fixed set of fields out of documents that arrive in many formats and under drifting schemas is usually done with hand-written byte patterns, which break whenever a key is renamed, a value is reformatted, or a lookalike value appears first. We argue the cause is structur…

本文如何被排名

报道来源 [1]

O-Funnel：从漂移、异构文档中进行无损结构捕获和需求驱动提取

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