通过自动实体识别解除殖民地档案的沉默

IF 1.7 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Mrinalini Luthra, Konstantin Todorov, C. Jeurgens, Giovanni Colavizza
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引用次数: 0

摘要

目的:本文旨在扩大现存档案索引的范围,减轻现有档案索引的偏差。设计/方法论/方法作者在荷兰东印度公司的档案中使用自动实体识别来提取对代表性不足的人的提及。发现作者为共享任务发布了一个带注释的语料库和基线,并表明所提出的目标是可行的。原创性/价值殖民地档案越来越成为历史学家和公众关注的焦点,扩大对它们的访问是档案的迫切需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unsilencing colonial archives via automated entity recognition
PurposeThis paper aims to expand the scope and mitigate the biases of extant archival indexes.Design/methodology/approachThe authors use automatic entity recognition on the archives of the Dutch East India Company to extract mentions of underrepresented people.FindingsThe authors release an annotated corpus and baselines for a shared task and show that the proposed goal is feasible.Originality/valueColonial archives are increasingly a focus of attention for historians and the public, broadening access to them is a pressing need for archives.
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来源期刊
Journal of Documentation
Journal of Documentation INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.20
自引率
14.30%
发文量
72
期刊介绍: The scope of the Journal of Documentation is broadly information sciences, encompassing all of the academic and professional disciplines which deal with recorded information. These include, but are certainly not limited to: ■Information science, librarianship and related disciplines ■Information and knowledge management ■Information and knowledge organisation ■Information seeking and retrieval, and human information behaviour ■Information and digital literacies
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