The progressive digitization of historical archives provides new, often domain-specific, textual resources that report on facts and events that have happened in the past; among these, memoirs are a very common type of primary source. In this article, we present an approach for extracting information from Italian historical war memoirs and turning it into structured knowledge. This is based on the semantic notions of events, participants, and roles. We evaluate quantitatively each of the key steps of our approach and provide a graph-based representation of the extracted knowledge, which allows to move between a Close and a Distant Reading of the collection.

中文翻译：

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基于事件访问历史意大利战争回忆录

历史档案的逐步数字化提供了新的、通常是特定领域的文本资源，用于报告过去发生的事实和事件；其中，回忆录是一种非常常见的主要来源。在本文中，我们提出了一种从意大利历史战争回忆录中提取信息并将其转化为结构化知识的方法。这是基于事件、参与者和角色的语义概念。我们定量评估我们方法的每个关键步骤，并提供提取知识的基于图形的表示，这允许在集合的近距离和远距离阅读之间移动。