Crummy Entity Linker的好应用?数字人文学科语料库选择案例
Good Applications for Crummy Entity Linkers? The Case of Corpus Selection in Digital Humanities
摘要:
在过去的十年中,我们在实体链接(EL)系统方面取得了很大的进步,但性能可能会因上下文而异,甚至可以说,存在阻止“完美”EL系统的原则性限制。这也表明,可能存在当前“不完美”的EL已经非常有用的应用,并且使得找到“正确”的应用与构建“正确”的EL系统一样重要。我们调查了数字人文学科的用例,学者们花了大量的时间选择相关的源文本。我们开发了广域网,一个语义增强的搜索工具,它利用了(不完美的)EL的优势,而不会妨碍其专家用户。我们评估这一工具在两个历史案例研究,旨在收集一组参考历史时期的议会辩论,从过去的二十年中,第一个目标是荷兰的黄金时代,第二次世界大战。案例研究的结论是对WideNet在这种研究中的实用性进行了批判性的反思,之后我们概述了这样一个现实世界的应用程序如何有助于提高EL技术。
英文摘要:
Over the last decade we have made great progress in entity linking (EL) systems, but performance may vary depending on the context and, arguably, there are even principled limitations preventing a "perfect" EL system. This also suggests that there may be applications for which current "imperfect" EL is already very useful, and makes finding the "right" application as important as building the "right" EL system. We investigate the Digital Humanities use case, where scholars spend a considerable amount of time selecting relevant source texts. We developed WideNet; a semantically-enhanced search tool which leverages the strengths of (imperfect) EL without getting in the way of its expert users. We evaluate this tool in two historical case-studies aiming to collect a set of references to historical periods in parliamentary debates from the last two decades; the first targeted the Dutch Golden Age, and the second World War II. The case-studies conclude with a critical reflection on the utility of WideNet for this kind of research, after which we outline how such a real-world application can help to improve EL technology in general.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。