COST行动“重组文学共和国”的试点研究：对哈特利布论文中的信件进行语言驱动的网络分析
Pilot study for the COST Action "Reassembling the Republic of Letters": language-driven network analysis of letters from the Hartlib's Papers
摘要：
本报告概述了我们在COST行动IS 1310“重组1500-1800年的文字共和国”背景下进行的探索性研究，该研究与第三工作组“文本和专题”和第二工作组“人员和网络”的活动有关。在这项研究中，我们调查了自然语言处理（NLP）和网络文本分析的一个小样本的十七世纪的信件，从哈特利布文件，其记录是在早期现代信件在线（EMLO）的目录之一，其在线版本是在谢菲尔德大学人文研究所的网站（http：//www.hrionline.ac.uk/hartlib/）。我们概述了用于将文本自动处理为网络表示的NLP管道，以识别文本的“叙事中心性”，即文本中最中心的实体以及它们之间的关系。
英文摘要：
The present report summarizes an exploratory study which we carried out in the context of the COST Action IS1310 "Reassembling the Republic of Letters, 1500-1800", and which is relevant to the activities of Working Group 3 "Texts and Topics" and Working Group 2 "People and Networks". In this study we investigated the use of Natural Language Processing (NLP) and Network Text Analysis on a small sample of seventeenth-century letters selected from Hartlib Papers, whose records are in one of the catalogues of Early Modern Letters Online (EMLO) and whose online edition is available on the website of the Humanities Research Institute at the University of Sheffield (http://www.hrionline.ac.uk/hartlib/). We outline the NLP pipeline used to automatically process the texts into a network representation, in order to identify the texts' "narrative centrality", i.e. the most central entities in the texts, and the relations between them.
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。
