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How Lexical Gold Standards Have Effects on the Usefulness of Text Analysis Tools for Digital Scholarship

机译:词汇金标准如何影响数字奖学金文本分析工具的实用性

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This paper describes how the current lexical similarity and analogy gold standards are built to conform to certain ideas about what the models they are designed to evaluate are used for. Topical relevance has always been the most important target notion for information access tools and related language technology technologies, and while this has proven a useful starting point for much of what information technology is used for, it does not always align well with other uses to which technologies are being put, most notably use cases from digital scholarship in the humanities or social sciences. This paper argues for more systematic formulation of requirements from the digital humanities and social sciences and more explicit description of the assumptions underlying model design.
机译:本文描述了如何构建当前的词汇相似性和类比黄金标准,以符合有关其设计用来评估模型的某些想法。主题相关性一直是信息访问工具和相关语言技术技术的最重要目标概念,尽管这已被证明是信息技术用于许多用途的有用起点,但它并不总是与其他用途相吻合。提出了一些技术,其中最引人注目的是来自人文或社会科学领域的数字奖学金。本文主张对数字人文科学和社会科学的需求进行更系统的表述,并对模型设计所基于的假设进行更明确的描述。

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