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Evidence record 11766 · automatically gathered

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods

Much empirical legal research depends on translating unstructured text into structured variables. In corporate governance research as elsewhere, this translation has traditionally relied on human coding of documents such as charters and bylaws, a process that is costly, difficult to scale, and often opaque. This paper introduces DECODEM, a set of benchmark datasets for evaluating the automated extraction of corporate governance variables from organizational documents. The benchmarks pair randoml

Record details

Published: 17 July 2026
Source: arXiv
Category: Research
Topics: Regulation
Retrieved: 20 July 2026

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Same publisher byline · Shared topic: Regulation

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods

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How to cite this record

ethics.ai (17 July 2026), “DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods,” evidence record 11766, https://ethics.ai/record/11766 (originally published by arXiv).

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